Tuesday, June 27, 2023

Admission for Masters in Remote Sensing at LPU

Are you fascinated by the world of remote sensing and eager to further your knowledge and expertise in this field? Look no further, as Lovely Professional University India (LPU India) is thrilled to announce the launch of its Master's program in Remote Sensing. This exciting opportunity is tailored for students like you who aspire to make a difference in the realm of spatial data analysis and environmental monitoring. Read on to discover how this program can help shape your future and pave the way for a successful career in remote sensing.

Why Choose LPU India?

LPU India, renowned for its academic excellence and holistic approach to education, has established itself as a leader in providing industry-relevant programs. With the launch of the Master's program in Remote Sensing, LPU continues its commitment to staying at the forefront of educational innovation and offering students the opportunity to excel in their chosen fields.

Unparalleled Faculty and Resources:

At LPU India, you will learn from a distinguished faculty comprising experienced professionals and renowned experts in the field of remote sensing. Their guidance and expertise will equip you with the necessary skills and knowledge to thrive in this rapidly evolving domain. Additionally, LPU India is equipped with state-of-the-art facilities, laboratories, and software resources, ensuring that you receive a comprehensive learning experience that blends theoretical concepts with practical applications.

Hands-on Training and Research Opportunities:

LPU India believes in learning by doing. Through hands-on training and practical sessions, you will have the opportunity to work with cutting-edge technologies and software used in remote sensing applications. The university also encourages research and innovation, providing you with a platform to contribute to the field through meaningful projects and collaborations.

Join LPU India's Master's Program in Remote Sensing:

If you are passionate about exploring the vast opportunities in remote sensing and wish to pursue a Master's degree in this exciting field, we invite you to take the first step. Fill out the attached Google form to express your interest and kick-start your journey towards a fulfilling career in remote sensing.

Rest assured that our dedicated admissions team will promptly reach out to you, providing further details and guidance throughout the application process. Stay tuned to our official website for updates and comprehensive information about the program.

Lovely Professional University India (LPU India) presents an incredible opportunity for aspiring remote sensing professionals to acquire the knowledge, skills, and industry exposure necessary to thrive in this dynamic field. With its prestigious ranking of 38 in the National Institutional Ranking Framework (NIRF) by the Government of India, LPU India stands as a testament to its commitment to excellence.

Don't miss out on this chance to pursue your passion for remote sensing and shape your future with LPU India. Fill out the Google form today and embark on an exciting educational journey that will set you on the path to success in the field of remote sensing.



Friday, January 27, 2023

Crop yield estimation using remote sensing and GIS Tutorial

Crop yield estimation is a crucial aspect of agricultural management and planning. Accurate and timely yield estimates can help farmers make informed decisions about planting, fertilization, irrigation, and harvest timing. Remote sensing and geographic information systems (GIS) are powerful tools that can be used to estimate crop yields with a high degree of accuracy. One of the most commonly used indices in remote sensing for crop yield estimation is the normalized difference vegetation index (NDVI).  we will explore the use of NDVI in conjunction with remote sensing and GIS to estimate crop yields.
Remote sensing is the process of collecting and analyzing data about the earth's surface using sensors mounted on aircraft or satellites. These sensors can detect and measure various characteristics of the earth's surface, such as temperature, humidity, and vegetation cover. NDVI is a commonly used index in remote sensing that measures the amount of vegetation cover in an area. NDVI is calculated by taking the difference between the near-infrared and red bands of a multispectral image and dividing that difference by the sum of the near-infrared and red bands. NDVI values range from -1 to 1, with higher values indicating more vegetation cover.
GIS is a collection of software and data that can be used to analyze, visualize, and manage geographic data. GIS can be used to analyze remote sensing data, such as NDVI images, to estimate crop yields.By developing a regression model on NDVI and crop yield. GIS can also be used to create maps that show crop yields across an entire region, making it easier to identify areas that may need additional resources or attention.
ArcGIS is a popular GIS software that can be used to analyze remote sensing data and estimate crop yields. It can be used to process NDVI images and create maps that show crop yields across an entire region. The software also has a wide range of tools that can be used to analyze and manipulate spatial data, making it an ideal tool for crop yield estimation.
Model development required a number of tools and logic to use together.  



Tutorial Highlights :

  1. Use Machine learning method for crop classification in ArcGIS, separate crops from natural vegetation

  2. The model was developed using the minimum observed data available online

  3. Crop NDVI separation

  4. Crop Yield model development

  5. Crop production calculation from GIS model data

  6. Identify the low and high-yield zones and area calculation

  7. Calculate the total production of the region

  8. Validation of developed model on another study area

  9. Validate production and yield of other areas using a developed model of another area

  10. Convert the model to the ArcGIS toolbox




Saturday, December 31, 2022

GIS Udemy Tutorial Coupon codes 2023

ArcSWAT: Covers hydrological simulations and weather data preparation using R; use it for any research area, and scripts are available for download.

Link: https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=HAPPYNEWYEAR2023

SWAT CUP: The simulated flow may not always completely match the observed flow. In this scenario, we must establish hydrological parameters. SWATCUP handles it automatically and recommends the best match settings.

Link: https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/?couponCode=HAPPYNEWYEAR2023

 

GROUNDWATER: This course covers the use of GIS for groundwater investigation using theoretical parameters. Create a live project from scratch.

Link: https://www.udemy.com/course/groundwater-potential-zones-using-gis-full-project-arcgis-tutorial/?couponCode=HAPPYNEWYEAR2023

 

LANDUSE LANDCOVER: Covers landuse classification of high-resolution data. You will learn how to correct error pixels such as urban and barren land, or agriculture and natural vegetation. It covers most classification methods, such as machine learning, supervised, unsupervised, and pixel-level recoding of challenging images.

Link: https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?couponCode=HAPPYNEWYEAR2023

 

FUTURE LANDUSE: Remote sensing has impressive capabilities to generate future landuse classified image of  2090, even if it is not captured in the present; see machine learning in action. No coding is required.

Link: https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=HAPPYNEWYEAR2023

 

BASIC GIS: This course covers more than a university lab class if you are new to GIS. This course will teach you about 3D, data analysis, and satellite image processing. 11hrs of hands-on videos of practicals.

Link: https://www.udemy.com/course/complete-basic-gis-tasks-arcgis-erdas-remote-sensing/?couponCode=HAPPYNEWYEAR2023

 

Monday, October 10, 2022

Udemy course coupons GIS

 Just click on links Discount applied.

Dear Research Scholars,

GIS courses updated with machine learning and R. Discount is applied on all links valid for 5 Days.

The ArcSWAT course is updated with more than 2 hr 26 minutes of video. Now it covers weather data management using R programming. It was experienced that weather data for swat was not available. So new section is added for data management.

Link: https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=SWATOFF90

 

Sometimes we found simulated flow does not perfectly match with observed flow. In this case, we need to set hydrological parameters. SWATCUP do it automatically and suggests the best fit values. That values are again written to SWAT to perfectly run and calibrated the swat model for a specific watershed. That also called sensitivity analysis.

Link: https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/?couponCode=SWATCUP90OFF

 

If new to GIS, then this course covers more then a university lab class. Covers everything about remote sensing and GIS, including different ways of georeferencing, Mosiac, excel to GIS, hydrology, 3D views, adding data from servers,  and much more GIS  more than 11 hrs tutorial. Only 99% practical. Covering ArcGIS, Erdas, and some QGIS.

Link: https://www.udemy.com/course/complete-basic-gis-tasks-arcgis-erdas-remote-sensing/?couponCode=GISOFF90

 

This covers the application of GIS for groundwater exploration based on theoretical parameters linked with GIS. The same method will be used for drought or flood.

Link: https://www.udemy.com/course/groundwater-potential-zones-using-gis-full-project-arcgis-tutorial/?couponCode=GWDOFF90

 

Covers landuse classification, Landsat 8, managing of high-resolution data of Sentinal-2, Pixel editing of wrong classified pixels. Post correction of classified image, Number of methods covered, like machine learning-based classification and all other supervised and unsupervised methods.

Link: https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?couponCode=LANDUSEOFF90

 

Use the output of landuse classification as input for terrset based on CA Markov model. Predict and generate a map of the future landuse of 2050 or 2090 by Machine learning.

Link: https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=CAMARKOVOFF90

 

Sunday, August 21, 2022

Udemy GIS Coupons August 2022

 Just click on Links to Get New Year Discount

1) SWAT CUP Calibration Validation and write values to ArcSWAT : Calibrate your watershed to get perfect simulated discharge

Link:https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/?couponCode=MYGIS2022

 

2) Basic to Advance Remote Sensing and GIS (With Smart Work):  Mosaic of satellite image with different colours and date, NDVI, advance data management, region of study cutting. Increase the resolution of images. Create layouts maps like research papers. Excel in GIS, survey data handling, GPS, Advance editing, Georeferencing, all GIS topics. ArcGIS, Erdas and are covered and some of the QGIS tasks. GIS Hydrology is also covered. NetCDF, Rainfall data handling, Data interpolation, Erdas ArcGIS QGIS.

Link: https://www.udemy.com/course/complete-basic-gis-tasks-arcgis-erdas-remote-sensing/?couponCode=MYGIS2022

 

3) Land use land cover classification with Machine Learning and all GIS Soft, No Coding pixel level editing to produce landuse image with 95% accuracy.

Link: https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?couponCode=MYGIS2022

 

4) Arc SWAT Tutorial watershed Flow simulation: This course covers ungauged catchment water flow simulation in Cubic Meter Per Second [m³/s] , groundwater recharge in watershed,  Sediment at outlet, Water yield, water quality, Curve number, Soils, Hydrological cycle parameters of watershed and many more advance output as you think.

Pl note there is issue for weather data for non-Asian countries, Data portal is under development.

Link: https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=MYGIS2022

 

5) Groundwater Potential Zones: You can use same tutorial for Drought, site suitability or any other theme also, even this method applicable to Flood risk zones.

Link:  https://www.udemy.com/course/groundwater-potential-zones-using-gis-full-project-arcgis-tutorial/?couponCode=MYGIS2022


6) Prediction of Future Landuse: Only requirement is you must have well classified two satellite image with accuracy more than 80%, Rest of things covered in this course. Its so much easy then you think you just need Terrset and ArcGIS.

Link: https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=MYGIS2022

 

 

 

Thursday, July 15, 2021

List of Best GIS Courses

How to learn GIS at home, then these courses are for you. 

---

Course Name: ArcSWAT Model with ArcGIS - Run for any Study Area - GIS

Duration: 4hr 26min

Highlights: Watershed simulation, amount of sediment reach at the outlet, ET, PET, Water Yield, Groundwater Recharge estimates, Streamflow in m3/sec, Hending weather data, Cover zero to simulation graphs. Applicable for ArcGIS 10.1 to ArcGIS 10.7

Link:https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=LABATHOME


Course Name: SWAT CUP Calibration Validation and write values to ArcSWAT

Duration: 2hr 37min

Highlights: Multiple concepts of calibration and validation, Write calibrated parameter values to ArcSWAT.

Link: https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/?couponCode=LABATHOME



Course Name: Land use Land cover classification GIS, ERDAS, ArcGIS, ENVI + Machine Learning in GIS

Duration: 6hr 22min

Highlights: A number of classification methods are covered including Machine learning. From data downloading to final results. Also covers pixel editing to improve LULC accuracy, Covers Accuracy assessment, Post modification and a number of basic and advanced tasks.  Applicable for Erdas 14 to Erdas 18. All versions of ArcGIS.

Link: https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?couponCode=LABATHOME


Course Name: Future Land Use with GIS - TerrSet - CA Markov - ArcGIS

Duration: 4hr 4min

Highlights: How an urban are expand in future at which extended till the year 2030, 2060 or 2090. Based on past classification and factors affecting landuse incorporated in the software. Convert the theoretical concept of urban expension into relaity.  Generate Video simulation of Urban growth. Also, generate a map of the future landuse with the machine learning approach. No coding is required. TerrSet and ArcGIS software required.

Link: https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=LABATHOME

Course Name: Complete Basic GIS Tasks - ArcGIS - Erdas - Remote Sensing

Duration: 11hr 7min

Highlights: If you are new to GIS then this 11 hrs course cover everything in GIS from data management to publication-ready maps. Rea;l life tasks are covered. Covers GIS, GPS, Excel,  Weather data handling, Advance scripts, Image mosaicking in the best way, image resolution increase, Processing of high-resolution free images of 10m, 30m resolution. 3D and much more. Applies to ArcGIS 10.1 to 10.8, Erdas 2014, 2015 and 2018.

Link: https://www.udemy.com/course/complete-basic-gis-tasks-arcgis-erdas-remote-sensing/?couponCode=LABATHOME

Tuesday, July 6, 2021

Download links for ArcSWAT

For ArcGIS 10.7:

For ArcGIS 10.3:
Note: 10.19 is the final ArcSWAT version for ArcGIS 10.3.

For ArcGIS 10.2:
Note: 10.19 is the final ArcSWAT version for ArcGIS 10.2.

For ArcGIS 10.1 SP1:
Note: 10.18 is the final ArcSWAT version for ArcGIS 10.1.

For ArcGIS 10.0 SP5:
Note: 10.15 is the final ArcSWAT version for ArcGIS 10.0.


Source : A & M university Texas, USA.

Monday, January 4, 2021

SWAT CUP Calibration Validation and write parameters to ArcSWAT

The simulated streamflow needs to calibrate to match the observed flow. That can be possible by getting fitted catchment parameters. Two approaches are available for calibration and validation. One is to use the whole observed at as calibration and second is to split data for validation. Both use almost the same methodology. The objective is to obtain fitted parameters. SWAT CUP does the calibration validation of the whole series. So both scientific concepts are explained theoretically and practically. But the whole data series concept is used by most of the researchers so its explained first, then data split validation concept is explained. So, this is to you which concept you want to use. Writing parameters to the SWAT model is also covered and the calibrated model was run in the course.  Mathematics behind the task is a little complex so I suggest downloading a few research papers similar to your study to explain that equations. Such as R Square, NSE, PBIAS, RSR. These all statistics calculated in SWAT Cup.

This is the complete Scientific Course.

Link to Course: https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/?couponCode=SWATCUP



Monday, September 14, 2020

Udemy Advance GIS Courses Discounted coupon links.

 Just click on Links to Get Discount

Basic to Advance Remote Sensing and GIS (With Smart Work) : Basic is the starting point of an project. If basics are not clear then many of us face problems in last stage of project, such as to modify data. This course is scientifically designed you no need to put a load on your brain to understand typically task, Just by watching the video, you will understand an advance concept. Many of you demanded to make a course on Basic of GIS data. As we face problems in handling shapefiles and data handling, Mosaic of the satellite image, NDVI, Handling advance data, cutting study area. Increasing image resolution and even making research-ready layouts. So here is the course.

Duration 11hr 7min

https://www.udemy.com/course/complete-basic-gis-tasks-arcgis-erdas-remote-sensing/?couponCode=SPECIAL_ONLY

Land use land cover classification with Machine Learning and all GIS Soft, No Coding Learn from scratch from data download to land use change detection, How to improve images, How to classify bad pixels manually. Post landuse classification process, Accuracy assessment, you will also learn many of Basic GIS tools also. Supervised, Unsupervised and Combined method are covered. You will receive more accuracy in the combined method for even bad quality terrain. This course cover landuse with Machine Learning Method also, such as Support Vector Machinic and Random Forest.

Duration 6hr 22min

https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?couponCode=SPECIAL_ONLY

Arc SWAT Tutorial watershed Flow simulation: This course covers ungauged catchment water flow simulation in Cubic Meter Per Second [m³/s] , groundwater recharge in watershed,  Sediment at outlet, Water yield, water quality, Curve number, Soils, Hydrological cycle parameters of watershed and many more advance output as you think. You not to go anywhere to collect rainfall data, or soil data. Everything is explained, You will be able to complete project just from your room. You will know how to use excel weather data in GIS.

Duration 4hr 12min

https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=SPECIAL_ONLY

 

Groundwater Potential Zones : In this course you will learn how to use landuse, DEM and Weather data. By generating stream density. Mosaic of DEM. How to run overlay analysis on multiple data set and many basic task of GIS like download  of weather data, convert to GIS. You will also learn ow to calculate water level fluctuation and generate map. You can use same tutorial for Drought, site suitability or any other theme also, even this method applicable to Flood risk zones.

Duration 3hr 49min

https://www.udemy.com/course/groundwater-potential-zones-using-gis-full-project-arcgis-tutorial/?couponCode=SPECIAL_ONLY

 

Prediction of Future Landuse: In this course you will learn how to generate future landuse maps with GIS. How to use present data and simulate urban growth to future. How to validate predicted results. How to Modify image Matrix to get desire results. This method use, MLP and Machine learning based method. No single line code required. Only requirement is you must have well classified two satellite image with accuracy more than 80%, Rest of things covered in this course. Its so much easy then you think you just need Terrset and ArcGIS.

Duration 4hr 4min

https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=SPECIAL_ONLY

 

Did you know while learning these courses, you never feel bored, you enjoyed typical task, nothing needs to remember? Or No need to explore Google to complete Project tasks. While learning you will note, all question in brain answered.

 

Wednesday, June 17, 2020

Open PhD position at CIRAD-INRAE

open PhD position at CIRAD-INRAE, on “Modeling multiple pests in rice crops for agroecological rice protection in Cambodia” Deadline for application September 1st 2020Please share this PhD opportunity. If you have candidates that are attracted by working experience in Asia, this announcement is for them.



Thursday, May 7, 2020

Online GIS Training Courses



The combined duration of all GIS courses 28hr 25min. If you spend 1hr daily, you will be expert in GIS within 28 days.
Even you will be able to do a complete GIS Project within one Day if works continuously. All courses are designed in such a way that you will feel GIS is too comfortable. Even Larger simulation of Hydrology will be just like the word for you.
Basic of GIS and Remote Sensing: This course is scientifically designed you no need to put a load on your brain to understand typically task, Just by watching the video, you will understand an advance concept. Many of you demanded to make a course on Basic of GIS data. As we face problems in handling shapefiles and data handling, Mosaic of the satellite image, NDVI, Handling advance data, cutting study area. Increasing image resolution and even making research-ready layouts. So here is the course.
Duration 11hr 7min


Land use land cover classification in Depth Learn from scratch from data download to landuse change detection, How to improve images, How to classify bad pixels manually. Post landuse classification process, Accuracy assessment, you will also learn many of Basic GIS tools also. Supervised, Unsupervised and Combined method are covered. You will receive more accuracy in the combined method for even bad quality terrain.
Duration 5hr 13min

ArcSWAT Tutorial - Learn Watershed Simulation and working with weather data in GIS, In this course you will learn ungauged catchment water flow simulation in  Cubic Meter Per Second [m³/s] , groundwater recharge in watershed,  Sediment at outlet, Water yield, water quality, Curve number, Soils, Hydrological cycle parameters of watershed and many more advance output as you think. Duration 4hr 12min

Groundwater Potential Zones : In this course you will learn how to use landuse, DEM and Weather data. By generating stream density. Mosaic of DEM. How to run overlay analysis on multiple data set and many basic task of GIS like download  of weather data, convert to GIS. You will also learn ow to calculate water level fluctuation and generate map. You ca use same tutorial for Drought, site suitability or any other theme also, even this method applicable to Flood risk zones.
Duration 3hr 49min

Prediction of Future Landuse: In this course you will learn how to generate future landuse maps with GIS. How to use present data and simulate urban growth to future. How to validate predicted results. How to Modify image Matrix to get desire results. This method use, MLP and Machine learning based method. No single line code required. Only requirement is you must have well classified two satellite image with accuracy more than 80%, Rest of things covered in this course. Its so much easy then you think you just need Terrset and ArcGIS.
Duration 4hr 4min



Friday, April 10, 2020

Basic GIS Course ArcGIS -Erdas - Remote Sensing


So, Many of you demanded to make a course on Basic of GIS data. As we face problems in handling shapefiles and data handling, Mosaic of the satellite image, NDVI, Handling advance data, cutting study area. Increasing image resolution and even making research-ready layouts. So here is the course.
During this period many of you has missed GIS Practical classes also, so it covers that all.  You will become an expert by the end of this typical time.
The course is scientifically designed you no need to put a load on your brain to understand typically task, Just by watching the video, you will understand an advance concept.
Topics of 110 video lectures of 11 hr.
  1. Introduction
  2. software used
  3. Projection System
  4. What is Geo-referencing
  5. Software used and Notice
  6. About
  7. Raster or Vector understanding
  8. Connecting to Drive
  9. Connecting to Folder
  10. GEOREF
  11. Find UTM Zone
  12. Re-Project Data
  13. Creating basic shape
  14. Saving MXD
  15. Two Polygon with same boundary
  16. snapping
  17. cut polygon
  18. join Polygon
  19. Attribute intro
  20. Defining attributes
  21. Application of Attribute
  22. Point Shapefile
  23. line shape files
  24. symbology
  25. displaying Attribute data
  26. Area Calculation
  27. displaying two labels
  28. KM SQURE
  29. length calculation
  30. calculating lat long of point
  31. download and cut shapefile
  32. cut shape with shape
  33. Base map and GeoRef verify with sat image
  34. QGIS Download
  35. Download Open Street Maps
  36. Converting OSM to Shapefiles
  37. Geodatabase and Feature class
  38. WMS connection
  39. Understanding satellite
  40. Satellite move
  41. Landsat band info site
  42. USGS DOWNLOAD
  43. processing of satellite image ArcGIS
  44. Manual Processing in ArcGIS
  45. Do not delete this files
  46. Stacking in Erdas
  47. Compare image processing of ArcGIS and Erdas and process image
  48. setting up No Data Erdas
  49. Before Mosaic
  50. Mosaicking
  51. Increasing image resolution
  52. intro to improve image quality
  53. Filters
  54. Intro to cut satellite image
  55. cut in ArGIS
  56. cut shape in Erdas
  57. cut with aoi erdas
  58. downloading 10 meter image
  59. Processing of 10 meter data
  60. Downloading of DEM
  61. What is DEM
  62. mosaic dem
  63. represent dem
  64. contours
  65. DEM Reproject
  66. slope aspect hill shade
  67. Viewshed
  68. fill
  69. Flow direction
  70. Flowacc
  71. Drainage
  72. Stream to feature
  73. Stream Order
  74. Drainage Density
  75. Watershed drainage cut
  76. Cut dem with watershed
  77. Solar Radiation calculation
  78. 3D intro
  79. Basic 3D view
  80. Satellite image drop over 3D DEM
  81. Drop More layer in 3D Drainage
  82. Export 3D animation to video
  83. Volume calculation tools intro
  84. Surface volume - reservoir volume
  85. Creating spot volume shape
  86. DEM to TIN
  87. Spot volume calculation reservoir volume
  88. Understanding Excel Sheet for GIS
  89. Plotting data from excel to ArcGIS
  90. Creating thiessen polygon updated
  91. Interpolation Intro
  92. Interpolation any Data
  93. Make grid extract value
  94. Removing NoData using query from point features
  95. NDVI Intro
  96. NDVI Generation in ArcGIS
  97. download and process monthly rainfall data
  98. Adding Band from large file with excel trick
  99. Processing interpolation and cutting rainfall data
  100. buffer zones
  101. image to image GeoRef intro
  102. image to image GeoRef intro
  103. Google earth to ArcGIS
  104. collecting GPS points with Android phone with accuracy
  105. Android GPS to Shapefile
  106. Layout like research papers
  107. Multiple layout
  108. Saving maps export
  109. so the next
  110. Mini project



Monday, December 30, 2019

Complete GIS Course from scratch to Advance

This course covers data processing in an advance way and solving general GIS problems.
Discounted already applied to links.
All are discounted links.
In this course, you will also learn
· Groundwater Potential Zones using.
· Site suitability
· This also covers Flood Zones
· Drought Zones
· Groundwater Fluctuation Maps.
· Like Using Excel Data in ArcGIS,
· Plotting Maps,
· Classify the various type of Data.
· Handling CDF files etc.
· Working with excel data in ArcGIS
· Digital elevation model analysis
· Watershed




In this course, you will learn
· How to generate future landuse maps using past landuse
· Power impacting landuse and use in Terrset
· Getting data ready for Future Prediction
· Running of CA Markov Model
· See power of Machine learning in Action



https://www.udemy.com/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=FUTURE_GIS_UDE

In this course you will learn
· Simulation of water flow in stream
· Daily Weather data including,
· Working with Temperature, rainfall, humidity, solar radiation
· Groundwater recharge.
· Making of Soil map of your study Area
· Extracting soil Properties
· DEM Mosiac
· Use of Landuse data in Model
· Soil Erosion at outlet



In this course you will learn
This course starts from Google Search to Final Results
· Covers basic of Image processing and data download
· Landuse land cover classification
· Supervised
· Unsupervised
· Combined classification
· Pixel Re-coding
· Correction Hill shade land feature
· Understanding satellite image and identifying features
· Accuracy Assessment
· Change Detection



In this course, you will learn
This course starts from Georeferencing to Advance GIS - 11hrs
· Covers all basics of GIS 
· Understanding of Projection system
· Handling Raster and Vector data
· Basics of GIS digitization in depth
· Basics of all analysis
· All task of Image processing including mosaic 
· Working with 10-meter data
· Working with Survey data
· Weather data
· Using queries in GIS

· DEM - volume and 3D
· 3D animation in GIS
· Making publication-ready maps.

Friday, January 4, 2019

Remote Sensing and GIS Tutorial

Groundwater Potential Zones: - In this course you will also learn site suitability analysis to identify anything whichever you like. This Project focus on Groundwater Potential Zones using this Method. This also covers Flood Zones and Drought Zones from Same data. If you have observed data then it also covers to Generate Groundwater fluctuation Maps. You will learn many Advanced task of GIS from Scratch. Like Using Excel Data in ArcGIS, Plotting Maps, Classify various type of Data. Hendeling CDF files etc.
Future Land Use Map Generation (Urban): - It is based on past land use, Factor affecting land use change, Factor like distance from roads, Cities, DEM, Growth pattern Conversion probability of Agriculture to Urban.  You will learn to implement this everything to your land use using Machine Learning and CA Markov Method - No Coding required, If you are able to make land use maps then you are able to do this also. Just basic knowledge of GIS is required.
ArcSWAT Watershed Simulation : This course covers complete Simulation of water flow in stream. It use Daily Weather data including, temperature, rainfall, humidity, solar radiation and much more. You can use this for Estimation of Power potentials based on discharge, Watershed management or in Irrigation purpose to estimate incoming water. This course also covers Groundwater recharge. Soil Properties identification and much more.
Land Use Land Cover Classification: Most of you are already enrolled in Land use land cover classification. I always updating this course whenever some new change is happen in GIS. In This course you learn Image Procession from Scratch, This covers image enhancement, Various image classification Methods, Land Use change detection and area calculation from pixels. This course covers pixel level editing to correct bad classification pixel in image, like forest in Hill shade, or Barren land appears like Urban. You can also look on this continuous updating course.
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