sharadgupta27 Goto Github PK

snap2stamps

Using SNAP as InSAR processor for StaMPS

snazzy

✨🗺️ Snazzy basemaps in the Earth Engine code editor

soc-mapping-cookbook

Soil Organic Carbon mapping Cookbook

sofa

SHARAD Open Focusing Attempt

softx-d-17-00026

HYDROSCAPE: A new versatile software program for evaluating contaminant transport in groundwater. To cite this software publication: http://www.sciencedirect.com/science/article/pii/S235271101730050X

soil-carbon-debt

R code and spatial predictions for WHRC-TNC project modeling spatial extent of soil carbon loss due to agriculture

soilgrids250m

Global spatial predictions of soil properties and classes at 250 m resolution

sopa

SHARAD Open Processing Attempt

spacenetchallenge.github.io

speciesclassification

AI for Earth Species Classification API

speciesranksurface

Species Rank Surface and generalized dimension - Manuscript & R code

spectral

Python module for hyperspectral image processing

spectralrao-monitoring

spurge-remote-sensing

Remote Sensing of Invasive Species Leafy Spurge

srbdrp_grainsizedistribution

Codes to measure the grain size distribution from thin sections or µXCT images. The distribution can be calculated based on the sieve method (volume-based), the laser diffraction (frequency-based) method, or the point-count method. The code outputs are (1) grain centroid - a matrix of Cartesian coordinates for each grain, (2) grain radius – a matrix of the radii measured from the grain centroid for each grain, (3) grain azimuth, - a matrix of the azimuth of all principal axes, (4) grain inclination – a matrix of the inclination of all principal axes, (5) grain volume – a vector of the volume in voxels for each grain, and (6) the number of contacts - a vector of the number of adjacent grains in contact.

stabix

Slip transfer analysis toolbox and GUIs (Matlab)

stac-api-spec

SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable

stamps

Stanford Method for Persistent Scatterers

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

steady-state-flow-with-neural-nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

stereo

Estimate a depth map from two or more images

stereopipeline

The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.

stream

Matlab implementation of STREAM model

summa

Structure for Unifying Multiple Modeling Alternatives:

sympy

A computer algebra system written in pure Python

sz

Susceptibility Zoning plugin

tagee

Terrain Analysis in Google Earth Engine

tecdem

Tectonics from Digital Elevation Models

template-thes-icl

LaTeX template for Imperial College London PhD Thesis