dipankar05

snap-dprvi-python-plugin

Dual-pol Radar Vegetation Index (DpRVI) Python Operator for SNAP

aws4agrisar

AWS4AgriSAR project through GEO-Amazon Earth Observation Cloud Credits Programme, for monitoring crops with SAR data.

springer-cropradar

Springer monograph

IJRS-MWCM

Modified Water Cloud Model

SAR-tools

A QGIS plugin to generate polarimetric SAR descriptors.

IARI-soilmoisture-workshop

Best practices in radar remote sensing for geo and biophysical parameter retrieval over cropland

SAR-processing-matlab

SAR processing with MATLAB

IITBombay-thesis-latex

IITBombay PhD Thesis latex source files

coldstorage-C-codes

C codes for cold storage design

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

Fluorescence_maize-1

Fluspect

Fluspect simulates leaf reflectance (R), transmittance (T) and fluorescence. With this code you can fit R and T to hyperspectral measurements.

gee_s1_ard

Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

GRSS-IADF-School2022

IEEE-GRSS IADF School -- PolSAR Session

grvi-sa10

Generalized Radar Vegetation Index (GRVI) Matlab Toolbox Standalone

ICPA2022_Abstract8761

ICPA abstract #8761

MCSBCKV

It is an interactive, flexible and user friendly software for designing a multipurpose cold storage in Visual Studio Express Desktop2012 environment and evaluation. The developed software--- “MCS_BCKV” has a criterion for typical load estimation and designing of cold storage, selection of evaporator, compressor and condenser in developing country. Load estimating and designing through computer automation is likely to make a positive impact in the dynamic nature of cold storage applications.

MLSSVR

Multi-output Least-Squares Support Vector Regressor

mSCOPE

mSCOPE Matlab codes

profile

Personal webpage

radiometric-slope-correction

Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine

retrieval_rtmo

Retrieval of plant traits from hyper- and multispectral remote sensing data with SCOPE model inversion

s1tbx

The Sentinel-1 Toolbox

Sangrahan

Web-application for collecting in-situ measurement during the field campaign--Field Data Collection App: SANGRAHAN

SCOPE

SCOPE is a simulation model for radiative transfer, photosynthesis and energy fluxes in vegetation and soil.

SCOPE2

snap-examples

SNAP example projects showing how to extend SNAP or build new applications on SNAP

soilmoisture-XBragg

Inversion X-bragg H-A-alpha method

springer-multifrequencySAR-crop

Multi-frequency crop classification using RF | Springer book chapter| Repository