Remote Sensing and GIS in India , Free GIS Data Download, Shape File Download, GIS Apps , Free GIS Tutorials, Watershed Analysis and Important GIS links , GIS PDF, Remote Sensing Video Tutorial. Maps , ArcGIS Erdas Steps. India Remote Sensing or Indian Remote Sensing, Space Science and Technology, Theory of Universe, Secrets Science behind Nature.
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.
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.
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.
Arc SWAT Tutorial watershed
Flow simulation: This course covers ungauged catchment water flow
simulation in Cubic MeterPer
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.
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 downloadof 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.
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. It’s so much easy then you think you just
need Terrset and ArcGIS.
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.
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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.
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.
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 MeterPer 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 downloadof 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.
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. It’s so much easy then you think you just need Terrset and ArcGIS.
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.
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.
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.
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.
