Showing posts with label Remote Sensing GIS. Show all posts
Showing posts with label Remote Sensing GIS. Show all posts

Sunday, June 9, 2024

Landuse landcover with machine learning using ArcGIS only

Creating land use maps is a complex process often plagued by errors and low accuracy rates. For instance, barren land or riverbeds may be misclassified as urban areas. To address these errors, it typically requires the use of multiple software tools, as a single software package may not be sufficient for all processes, such as post-classification pixel corrections. Often, other software is used alongside ArcGIS to correct these misclassifications because ArcGIS lacks a dedicated tool for pixel correction.

However, in this course, we have successfully managed to perform all tasks using ArcGIS alone. Land use classification is accomplished using machine learning techniques, specifically the Support Vector Machine (SVM) and Random Forest methods, through supervised training. Even post-classification pixel correction is handled within ArcGIS using specific strategies.

If you prefer to rely solely on ArcGIS without using any additional software, this course is designed for you. The first few videos are free. Here is the link.

Link to course:

Things that covered
  • Land use mapping
  • Land cover classification
  • ArcGIS machine learning
  • SVM land use classification
  • Random Forest land use mapping
  • Post-classification pixel correction
  • ArcGIS pixel correction
  • Supervised training ArcGIS
  • Land use errors correction
  • Urban area misclassification corrections
  • ArcGIS land use course
  • Barren land classification corrections 
  • Riverbed misclassification corrections
  • Single software land use mapping
  • ArcGIS only land use mapping
  • High accuracy land cover mapping
  • Machine learning in ArcGIS
  • Land use mapping techniques
  • Land cover classification errors corrections 
  • 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.


    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.



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



    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.



    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.



    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.



    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.


    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.


    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.


    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.


    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
    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

    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.
    Click on Any of Bold Text Title above to access.

    Sunday, December 30, 2018

    Best Laptop for Heavy GIS Task

    Some time we buy costly laptop for GIS task and image processing, with Good process as shown by Showroom Boys, But after spending much of money we find its performance is same as old laptop and slow even after i7 and 16gb RAM, But There is something that they hide from you,

    Here are point that we missed while purchase. 

    • Your laptop processor may be fast but not the hard disk
    • You get 16gb Ram but ts slow speed,
    • HDD response rate is slow
    • Laptop without SSD.
    • Having wifi but not 802.11ac , later you get slow internet on fiber connection. 
    • Having HD screen 1080, but lower contrast ratio. 
    So this configuration seem to high but at end you will get low speed laptop, Because processor will slow down if Hard drive is slow. 

    So, Here is laptop with faster SSD Drive which read data upto 3gbps and write also 3gbps. It has faster ram then traditional ram, It has 2 Hard drive, One for C drive and other for Other works, This make it faster then your thinking, I will boot in just 5 seconds. SO have A look on this. 

    ASUS Rog Strix Core i7 8th Gen 15.6-inch Laptop (16GB/1TB+256GB SSD/Windows 10/4GB Graphics/Black Metal/2.6kg), GL503GE-EN038T

    Sunday, December 9, 2018

    Estimation of Groundwater Potential Zones using GIS and Remote Sensing

    Estimation of Groundwater potential zone using GIS is and very easy work. Even Just basic knowledge of GIS is Required. You Just need to know to concept how it works and how to take that work from form GIS data. Groundwater Potential zone is just an estimate of possible location of water availability. But it does not tell the water depth. But if you want to know monitor changes in water depth in this case you need to work with actual data and plot that data in GIS. You can also calculate water level changes and location by using GIS if you have observation data. Groundwater Required few layers like Land Use, Rainfall, Soil, Drainage density,  DEM, Even number of layers is not limited you can use any number of layer as per information available, like Geomorphology also. This project is sometime given to Master of PhD students. But actually this is work of Just one day if you have good internet connection and ability to work Just 8 hrs continuous. Only write up will take time. So here is step by step Video tutorial is available for this project. It covers from data downloading to final results, Even the same tutorial covers Drought and Flood risk zone also, because it use same data.  High Quality GIS contents are not free, But too cheap also as 10$. If you learn GIS offline this will cost you thousand of dollars and at last you not have single video of course. You purely depend on you notebook. But if everything is available in video you can do it better, watch any step anytime rewind it. So All reading this post have access to this course using special link. Below this post. 
    • Successfully identify Groundwater Potential Zones
    • Also Drought prone Area analysis
    • Flood Risk map
    • Working with Rainfall Data
    • Generate Soil Map and identify Soil Properties
    • Delineate Watershed
    • Drainage Density and Drainage Maps
    • Mosaic of Digital Elevation Model
    • Area Calculation from Pixels
    • Data Interpolation
    • Adding Data from Excel to GIS Environment
    • Perform GIS data calculations
    • Tool used for Site suitability analysis
    • Working with CDF file and data Extraction, Map Generation, Calculation,
    • Data Reclassification
    • Generate Fluctuation maps to identify Good Aquifer.
    • Data Reproject
    • Calculation with Raster Data
    • Data management in GIS
    Are there any course requirements or prerequisites?
    • Basic GIS
    • Must have Landuse image
    • You must have ArcGIS any Version
    Who this course is for:
    • GIS Student
    • GIS Professionals
    • Professors
    • Scientists
    • Master Student of Remote Sensing and GIS
    • PhD Research Scholars
    • Groundwater Exploration Engineers
    • Irrigation Engineers
    • Water Resource Engineers
    • Students of WRDM
    • Govt. Policy Makers
    • Ministry of Earth Science

    Groundwater Potential Zones using GIS

    Wednesday, September 5, 2018

    How to Predict future landuse using GIS

    Prediction of future landuse is an easy task. You Just know basic of GIS. Let's Think how urban area will grow. 
    Growth Depends on Some factors as:

    1. Distance between two cities
    2. Distance from Roads
    3. Elevation of City
    4. Near to outer area of city
    5. Trend of change from Agriculture to Urban, or Forest to Urban
    6. The actual landuse
    7. Rate of change
    We can predict future landuse in two ways, Using Regression model or By CA Markov Method with Machine learning approach to solve complex problems. 

    So CA Markov is best to predict with MLP and Neural Network approach. This way we train our model with 50% learning and 50% testing approach. But any learning accuracy between 40% to 70% will provide accurate results. It depends upon how we are getting output results. Each time after modification check results by comparing to real landuse if it matches at least 70% then continue to predict for future.  All task are too easy some work need to do in ArcGIS and some in Terrset Model. Both are NOT open source.

    If you want to see in Detail Click Here to Know More

    See in Video Below How it works. 

    Tuesday, August 28, 2018

    Learn ArcSWAT Model Watershed Simulation using GIS - Complete Tutorial

    ArcSWAT is Watershed simulation model in GIS. It uses weather and climate data to calculate water flow at outlet Watershed. Its very Easy also. Most of Research paper accepted who used SWAT Hydrological Model. It works with ArcGIS 10.1-10.4.  It used to calculate water flow for ungauged catchments.  Never think simulation is difficult, if learn in proper way its like Just Word. Surprise your friends by Publishing a Good paper. 
    In this course you will learn other related advance task of GIS also, like preparation of Soil Map, Mosaic of DEM etc.
    • Discharge in Cubic meter Per Second at Watershed outlet, Daily Monthly and yearly
    • Watershed and Sub-watershed delineation using SWAT
    • Configure SWAT model for any Area in World
    • Groundwater Recharge
    • Sediment at outlet (Soil Erosion)
    • Water Yield
    • Preparation of Soil Map and DEM Mosaic for large Watershed
    • Water Quality
    • Simulation of Daily Data
    • Data preparation for SWAT
    • Updating SWAT Database
    • Understanding advance task of Simulation
    • Working with daily data and working without data
    • Configure Data set for India
    • Evaporation and Evapotranspiration
    • Watershed Simulation
    • Successfully run The SWAT Model
    • Preparation of Soil Map of Any country
    Link to Course:

    Saturday, April 7, 2018

    ArcSWAT Tutorial from Scratch Step by step - Everything about swat from zero to advance

    ArcSWAT Model with ArcGIS - Run for any Study Area - GIS

    ArcSWAT in most widely used watershed simulation model in GIS. Most of paper accepted in peer review Journals that used SWAT model. This model has inbuilt data for USA. But it does not have data for other countries. So we need to configure this model for non-us location.

    Thursday, December 14, 2017

    Change Excel Columns data without changing rows Sort columns Horizontally.

    While Performing GIS Task. We have most of data in columns. If data is Rows we can easily sort by right click on column. But how to sort column without changing rows. Then Like you have multi GPS data. or even Landuse data you want to sort from your attribute table. Then Have a Look on this video. Columns are in order 2050 to 1980 But I want to show starting column as 1980 and ending 2050 without changing rows. Then how to do it Let's have look.

    Sunday, December 10, 2017

    ArcGIS Active X warning Solved

    If new version of ArcGIS is giving you active x warning again and again as you run any tool. You have to click on yes each time. This will hesitate you each time you run GIS tools. 

    Then follow simple process as here
    Run "regedit" from start menu

    Navigate to "HKEY_CURRENT_USER\SOFTWARE\Microsoft\Windows\CurrentVersion\Internet Settings\Zones\0"

    Then Create new DWORD file 32bit with name 1201 set value to 0

    Restart ArcGIS That's all