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



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


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


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


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



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



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



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.