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Friday, 8 May 2020

Online GIS course 28 hrs



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



Tuesday, 14 April 2020

GIS course udemy Coupon - Complete Basic GIS Tasks - ArcGIS - Erdas - Remote Sensing

Complete GIS Course from scratch to Advance

This all course covers data processing in 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 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.

Saturday, 11 April 2020

GIS Basics Video Tutorial


The theory behind tools, how it works. Hands-on That tool. Practical. Mosaicking, satellite data, Digital Elevation Model, Most of the things covered that required for Mast of GIS students, PhD students and Civil Engineers, Irrigation and Hydrology Engineers. If you have missed your practical classes of GIS, then this course is for you. It covers the whole practical syllabus of GIS, even more than it. It also covers Error resolving is software, issue with Satellite data. Compared same task output on different software. This will enable you to do any real life project. Content are decide based on real life problems which my Engineer student faced in field. Sometimes satellite image not provide sharp resolution data then we take Help of Google Earth, How use that Data in GIS. Even how we can use our Good Android Phone to Survey up to 3 meter GPS accuracy by calibration its GPS. Later how we can use in GIS. Other than working with Data we need to represent in Best way. A best presentation of Data is considered to be Good work, so I have also covered how to make research ready GIS layouts. How we can improve satellite image improve resolution up to 15 meter and Processing of 10-meter satellite data. Getting Earthwork of Reservoir volume, converting to 3D. Mosaicking of Digital Elevation Model. Getting Drainage and watershed, stream order. Changing the projection of data. Advance labelling using scripts. Handling NetCDF data. Generation annual rainfall map and interpolation of Data. On Other side NDVI is covered. Cutting Study area for project and deleting bad data from satellite image and vector files using smart tricks covered. How to reference data without latitude longitude and make it usable. Even how to get street level data from online sources and convert to GIS format. Cutting shapes with shapes. Handling attributes and calculation on that. Data conversion between raster and vector of multiple type. Small mini project also shown how to use combination of tools to do one task. Even to find the right UTM Zone for your area. Also covers Excel data to GIS. Getting lat long, Making Grid, If you missed your GIS practical classes, then it is for you.
It does not matter which version of the software you have. Tool covered applicable to all version of ArcGIS 10.1 or 10.7 or above. Similarly Applicable to all versions of Erdas 2015 or 2018 and above.

Sunday, 9 December 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, 5 September 2018

CA Markov Method of Urban Growth using GIS Tutorial

CA Markov, People search lot of about CA Markov. But there is no proper GIS tutorial which Explain from Basic to run this model. If we know basic of GIS and data handling in Gis we will be easily able to run this Model. Its not a big deal. You just need ArcGIS and Terrset software to predict future land use and generate map for future. Think Few General points in Mind How it works. Lets think:
  1. New Urban area wll grow at boundary of older
  2. Some factor depends like distance between settelments
  3. Fistance from road
  4. Trend of change from Agriculture and forest each location
  5. Rate of Growth,
  6. Power of factor of change
And many More. You need only to model some layers and put in Machine learning model when the model trained put input to CA Markov model. This will predict future landuse map. If you found accuracy is not matching then Just change sampling rate and use hit and trail until it matches with actual land use if matched perfectly then Just o future and predict for year 205 and 2100.


See video of output. 



Tuesday, 17 April 2018

ArcSWAT Tutorial

Landuse Tutorial

Sometime barren land has same appeared as urban area, Rivers are dry that appears as barren land. Even after final land use we think to add new class. But cannot add. Sometime forest in Hill shade area and appear black. Learn this all Everything how does with New Methods. More than Supervised classification and Get 90% Accuracy. Also learn how to do change detection. Like if urban area is increasing the how much area it takes from Agriculture or Forest, How Landuse is changing w.r.t Each class. Calculate are in Km, or Pixels. Lastly do accuracy report. Learn this everything. Only for LinkedIn offer who reading this post. This is already discounted link. Lear at your time. No time bound. Enrol now and watch more than 5 hrs step and your time.  You will also get valid certificate also.

ArcSWAT Tutorial

ArcSWAT is an watershed simulation model. Used for watershed, Water resource planning, Planning of Hydropower projects. It typical model to run with ArcGIS , Most of people facing error in SWAT Model. So, I have created a complete unofficial tutorial of SWAT model with ArcGIS. In this I covered Data download to final results. This include data preparation of SWAT model in Depth. Configuring swat model from scratch. I demonstrated using A live study area, from zero. I also covered custom data set for other countries to prepare for which no data is available, including preparation of soil maps. I covered to remove common error in weather data also. How to read output. How to manual configure inside SWAT model

Link to Tutorials

All tutorial covering GIS work from Data download to final results, you can use it as you like. No need to ask anyone to learn about land use. You also learn image processing and many tasks of GIS from zero, Discount already applied to this link for all who watching this page. This course Normally no one teach in depth, I decided to share deep knowledge which everyone can effort. You can watch it anytime after enrol, ask me questions. You will also get valid international corticate with digital id after complete of this tutorial.  if someone tech he charges you much money for this course. But I created all video and currently providing it only 700 Rs/ or 10$ only.  After enrol to this tutorial you will get all upcoming tutorial at same price. 

Discounted link to landuse course:
Discounted link to Watershed Simulation course with ArcSWAT GIS




Monday, 16 April 2018

ArcSWAT and Landuse Best Tutorial Ever

ArcSWAT : Most of people facing error in SWAT Model. So, I have created a complete unofficial tutorial of SWAT model with ArcGIS. In this I covered Data download to final results. This include data preparation of SWAT model in Depth. Configuring swat model from scratch. I demonstrated using A live study area, from zero. I also covered custom data set for other countries to prepare for which no data is available, including preparation of soil maps. I covered to remove common error in weather data also. How to read output. How to manual configure inside SWAT model
Link:

Landuse: Sometime barren land has same appeared as urban area, Rivers are dry that appears as barren land. Even after final land use we think to add new class. But cannot add. Sometime forest in Hill shade area and appear black. Learn this all Everything how does with New Methods. More than Supervised classification and Get 90% Accuracy. Also learn how to do change detection. Like if urban area is increasing the how much area it takes from Agriculture or Forest, How Landuse is changing w.r.t Each class. Calculate are in Km, or Pixels. Lastly do accuracy report. Learn this everything. Only for LinkedIn offer who reading this post. This is already discounted link. Lear at your time. No time bound. Enrol now and watch more than 5 hrs step and your time.  You will also get valid certificate also.
Link:




Tuesday, 9 January 2018

landuse landcover classification step by step in GIS

This is first landuse landcover course on udemy the most demanding topic in GIS, In this course I covered from data download to final results. I used ERDAS, ArcGIS and ENVI. I explained all possible methods of land use classification. More then landuse Pre Procession of images are covered after dowanload and after classification, how to correct error pixels are also covered, So after learning here you no need to ask anyone about lanudse classification. I explained theoretical concept also during processing of data. I have covered supervised, unsupevised, combined method, pixel correction methods etc. For in depth of all methods enroll in this course. 

Problem faced During classification:
Some of us faced problem during classification as:

  1. Urban area and barren land has same signature
  2. Dry river reflect same signature as urban area and barren land
  3. if you try to correct urban and get error in barren
  4. In Hilly area you cannot classify forest which is in the hill shade area. 
How to get rid of this all problems Join this course in link below. Don't miss this chance its already at 70% off link for all visitor of this site

This will cost you only 1280 Rs/-




Saturday, 25 March 2017

Download High Resolution Satellite Images Free (10 meter)

Now Downloading of  High Resolution Satellite Images Free (10 meter). It is also available on Earth explorer. Watch the video Tutorial below. Also Subscribe our YouTube channel for more videos.


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Tuesday, 10 January 2017

PC Configuration for Remote Sensing GIS - सुदूर संवेदन के लिए कंप्यूटर की कॉन्फ़िगरेशन

ये सारे तथ्य हमारे अपने अनुभव से हैं | अगर आप कोई कंप्यूटर लेने जा रहे हैं जिस पे GIS का काम हो तो एक बार निचे दी विडियो देख लें और यहाँ लिखा पड़ लें |

सॉफ्टवेर की साईट पे जो कंप्यूटर की कॉन्फ़िगरेशन दी होती है वो सिर्फ उस सॉफ्टवेर को इनस्टॉल करने के लिए दी होती हैं और ये लिखा होता है की ये कम ये कम इतना होना चाहिए | परन्तु जब आप उसे चलाते हैं तो उस से कहीं जयादा प्रोसेसिंग पॉवर की जरूरत पड़ती हैं |
GIS का काम करने के लिए हमारे अनुसार ये कॉन्फ़िगरेशन होनी चाहिए


  1. RAM 32 GB अथवा अधिक (DDR4 OR DDR5)
  2. इंटेल का xeon processor 4Ghz
  3. SSD (Non Rotating Hard disk) Solid State Drive



Saturday, 7 January 2017

लैंडसैट 8 के डिजिटल नंबर को सतह के तापमान में बदलना

लैंडसैट 8 का प्रयोग करना 

ये जानकारी यहाँ भी उपलब्ध है (Source: https://landsat.usgs.gov/using-usgs-landsat-8-product)

लैंडसैट 8 में बैंड १० और ११ सतह का तापमान जानने के लिए प्रयोग  किये जाते हैं | जिसमे बैंड १० ताप तरंगो के कुछ पास के तरंग लम्बाई में है परन्तु बैंड ११ पूर्ण रूप से ताप को सेन्स करता है इस लिए बैंड ११ का प्रयोग करना की उचित समझा जाता है | परन्तु जब सॅटॅलाइट फोटो लेता है जो अदृश्य सूक्ष्म तरंग क्षेत्र  की हो वो  उसकी डिजिटल फिल्म में सीधे तरंग के (wavelength) तरंग लम्बाई के रूप में अंकित नहीं होती | क्योंकि डिजिटल फिल्म सिर्फ पूर्ण संख ही रिकॉर्ड कर सकती है दशमलव में नहीं , इस समस्या को हल करने के लिए उसे 16 बिट पे अंकित किया जाता है जिस से सब डाटा कुछ अधिक स्केल में अंकित होता है परन्तु सब रिकॉर्ड हो जाता है | इस अधिक डाटा को हम बाद में कम स्केल फैक्टर से प्रोसेस का के हम उसके मूल रूप में ला सकते हैं अथवा पूर्ण रूप से उस से वो प् सकते हैं जी के लिए वो बना है | परन्तु इस के लिए हमे डाटा को प्रोसेस करना होगा और गणित के मॉडल के द्वारा कैलकुलेशन (गणन्ना ) करनी होगी | इस तरह हमे सतह का तापमान मिल जायेगा | नासा हमे डाटा देता हैं परन्तु प्रोसेस उसे हमे करना होता है |  निचे वो सम्पूर्ण फार्मूला दिया है जिसके माध्यम से आप सतह का तापमान निकल सकते हैं | सतह का तापमान फसल , शहर की योजना और वाष्पीकरण की जानकारी के लिए महतवपूर्ण रहता है | ये सब की भी आप गन्ना कर सकते हैं | ये सारा कार्य आप एक एक से अधिक सॉफ्टवेर में कर सकते हैं परन्तु इस सब के लिए आपके कंप्यूटर की 8 GB, RAM हो i5 अथवा i7 प्रोसस्सेर हो और SSD हो तो अति उतम है , नहीं तो कंप्यूटर कुछ समय के लिए गरम हो जायेगा क्योंकि उसको कई अर्ब पिक्स्ले को प्रोसेस करना है | समस्त कार्य का फार्मूला निचे दिया गया है अथवा आप इस किताब को डाउनलोड कर के भी पड़ सकते हैं |


Conversion to TOA Radiance
OLI and TIRS band data can be converted to TOA spectral radiance using the radiance rescaling factors provided in the metadata file:
Lλ = MLQcal + AL 
where:              
Lλ          = TOA spectral radiance (Watts/( m2 * srad * μm))
ML         = Band-specific multiplicative rescaling factor from the metadata (RADIANCE_MULT_BAND_x, where x is the band number)
AL          = Band-specific additive rescaling factor from the metadata (RADIANCE_ADD_BAND_x, where x is the band number)
Qcal        = Quantized and calibrated standard product pixel values (DN)         

Conversion to TOA Reflectance
OLI band data can also be converted to TOA planetary reflectance using reflectance rescaling coefficients provided in the product metadata file (MTL file).  The following equation is used to convert DN values to TOA reflectance for OLI data as follows:
ρλ' = MρQcal + Aρ 
where:              
ρλ'          = TOA planetary reflectance, without correction for solar angle.  Note that ρλ' does not contain a correction for the sun angle.
Mρ         = Band-specific multiplicative rescaling factor from the metadata (REFLECTANCE_MULT_BAND_x, where x is the band number)
Aρ          = Band-specific additive rescaling factor from the metadata (REFLECTANCE_ADD_BAND_x, where x is the band number)
Qcal        = Quantized and calibrated standard product pixel values (DN)

TOA reflectance with a correction for the sun angle is then:
ρλ ρλ'=ρλ'
cos(θSZ)sin(θSE)
where:              
ρλ          = TOA planetary reflectance
θSE         = Local sun elevation angle. The scene center sun elevation angle in degrees is provided in the metadata (SUN_ELEVATION).
θSZ         = Local solar zenith angle;  θSZ = 90° - θSE
For more accurate reflectance calculations, per pixel solar angles could be used instead of the scene center solar angle, but per pixel solar zenith angles are not currently provided with the Landsat 8 products.

Conversion to At-Satellite Brightness Temperature
TIRS band data can be converted from spectral radiance to brightness temperature using the thermal constants provided in the metadata file:
T = K2
ln( K1 +1)
Lλ
where:              
T           = At-satellite brightness temperature (K)
Lλ          = TOA spectral radiance (Watts/( m2 * srad * μm))
K1          = Band-specific thermal conversion constant from the metadata (K1_CONSTANT_BAND_x, where x is the thermal band number)
K2          = Band-specific thermal conversion constant from the metadata (K2_CONSTANT_BAND_x, where x is the thermal band number)
अगर आप उपर लिखा सब प्रोसेस करंगे तो आपको इस तरह की आउटपुट मिलेगी | ये जयपुर शहर की सॅटॅलाइट इमेज को [रोसेस करने के बाद तापमान निकला गया है |  यदि हमसे संपर्क करना हो तो आप फेसबुक पे जा का इस पेज से हमे संदेश दे सकते हैं , आपको जवाब जरुर मिलेगा https://www.facebook.com/IndianRemoteSensing/   नए अपडेट के लिए इसे लाइक भी कर सकते हैं | 




Friday, 6 January 2017

Download India Shapefile with Kashmir and Process

डाउनलोड करने से पहले YouTube विडियो जरुर देख लें | क्योकि इस डाटा को डाउनलोड कर के आपके क्षेत्र के अनुसार प्रोसेस करना होगा |

Click Here to Download.

See Step By Step Process or Watch Video for Processing.

  1. ये डाटा डेसीमल डिग्री में है 
  2. सर्वप्रथम ऐड करें
  3. फिर जियोग्राफिक प्रोजेक्शन पैर सेट करें 
  4. इसको डाटा फ्रेम के साथ एक्सपोर्ट के के फिर से ऐड करें 
  5. अब इसको अपने क्षेत्र की UTM Zone पे के साथ एक्सपोर्ट करें 
  6. अब भारत का का डाटा तयार है 


Wednesday, 4 January 2017

एक अनोखा गाँव जो पुरातन ज्वालामुखी पे बसा है

भारत में भुमते हुए एक दिन ऐसा गाँव मिल गया जो पुरातन ज्वालामुखी के लावा पे बसा है | वो भी इतना पुराना जब धरती अन रही थी अथवा हिमालय बन रहा था | क्योंकि वर्तमान समय में ये सक्रिय नहीं है | ये इतना पुराना प्रमाण है की हमे धरती और इसके जियोलाजिकल इतिहास के बारे में काफी कुछ बता सकता है | वर्तमान में ठीक इसके उपर लावा प्रवाह के क्षेत्र में गाव बसा हुआ है | शायद गावं के लोग भी इसे नहीं जानते की वो किस पे बसे हैं | देखें निचे दिया गया पूरा विडियो | 


How to Send files larger then 16mb on Whatsapp

Saturday, 16 April 2016

PC Requirement for GIS Software

If you visit ESRI Website for PC Configuration for GIS, you Get much lower requirements. But actually thet are written as "minimum to run" Means that only to run software not to process. For processing large data you need High End PC, otherwise your processor burn for long term use and procession of GIS software. Normally if your image is more than 4GB it take large amount of time to process, you cannot process whole state or country. If command given it take couple of hours or end with insufficient memory error. So here is PC Requirement if you are going to Build desktop or thinking about laptop. Model or made of pc does not matter, its configuration just matter. 

Best PC Requirement for GIS Software.

Sr.No
Component
Specification
Remarks
1
Processor
i7 or whichever Higher while you reading it
Recommended more then 3.0Ghz
2
HDD or SSD
HDD is not recommended for large process environment.
Use SSD instead of HDD
Because SSD has no moving part and having write speed of 1TB/s and HDD has just 30mb/s
4
RAM Minimum 16gb
2300 or more mhz
DDR4 or 5
5
Graphic Card
Nvidia GTX
More than 4GB GDDR5 or more.
6
Screen
As you wish
Large more than 25 is Recommended
7
Mouse
Mouse with DPI Adjustment
Required for more accuracy during digitation