remotesensing

DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow

This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.

digitalearthafrica/deafrica-sandbox-notebooks

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

Jingtao-Li-CVer/ASD

This is an official implementation for "Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors“ (AAAI 2023))

insarlab/MiaplPy

MIAmi Phase Linking in PYthon

ceholden/yatsm

Yet Another Time Series Model

CameronBodine/PINGMapper

Open-source interface for processing recreation-grade side scan sonar datasets and reproducibly mapping benthic habitat

eupassarinho/sentinel-1-SAR-vegetation-indices

This repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation indices (all in Python); following for image sampling in R.

OpenDataAnalytics/gaia

Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.

giswqs/eefolium

A lightweight Python package for interactive mapping with Earth Engine and folium

SERVIR/SERVIR-Applied-Deep-Learning-Book

srinadh99/Transformer-Models-for-Multimodal-Remote-Sensing-Data

Study of Transformer based models for Multimodal Remote Sensing Image Classification

zyxu1996/HRCNet-High-Resolution-Context-Extraction-Network

SOTA method on Potsdam and Vaihingen datasets, based on HRNet.

YW-Ma/MBI

Morphological Building Index, extract Buildings from a high-resolution top view image.

ArminMoghimi/RiverSnap

RiverSnap - estimation of river hydraulic parameters using machine learning/AI models

REMEX-Lab/REMEX-Lab.github.io

REMEX Lab's home page.

MagdaHa/Sentinel5P_NO2

Sentinel-5P: Processing and handling NO2 measured values in R

mahmad00/Artifacts-of-DR-on-Hybrid-CNN-for-HSIC

The code is associated with the following paper "Artifacts of different dimension reduction methods on hybrid CNN feature hierarchy for Hyperspectral Image Classification".

naivelogic/dotatron

2021 Learning to Understand Aerial Images Challenge on DOTA dataset

burakekim/GEO_tutorial

This repository contains documentation and code for lecture.

EnMAP-Box/qgispluginsupport

QGIS Plugin Support

Raymond1030/WHURS-GNSS-GPS-indirect-adjustment

武汉大学遥感院GNSS间接平差编程作业 Homework of Course Measuring-Adjustment in Wuhan University

AVJdataminer/Landsat_ET_Rtools

R scripts to create surface radiation components of evapotranspiration from Landsat Satellite data

EnMAP-Box/enmapbox-training

A collection of examples how to use the EnMAP-Box.

fauzan9585/LandslideDetection-GEE

The comparison of Random Forest and Rule-based Landslide detection in Google Earth Engine Platform

ksabmagar7/bookmarks-learning-resources

bookmarks of learning resources (remote sensing)

cybergeekgyan/Flood-Monitoring-using-space-based-Earth-Observation-Systems

flood monitoring using space based earth observation systems

fpl/polsarpro

ESA PolSARpro v6.0.3 (Biomass Edition) Software - UPDATED Linux edition

JesseBausell/Hydrolight53_Bootstrap

HE53_Bootstrap enables user to evaluate radiative transfer using field-measured inherent optical properties (IOPs). The program accepts ac-s and hs6 data and performs bootstrapping with replacement to produce a series of depth-binned absorption, attenuation, and backscattering from single spectra. The resulting output files can be uploaded into Hydrolight for modeling radiative transfer.

NiklasJordan/OpenSpaceData

OpenSpaceData.org democratizes satellite data. The aim of the project is to provide a search tool that makes it easier for everyone to find data, regardless of technical or professional knowledge.

OpenSpaceData/StartHere

You are new to this project? Read this first. This is the entry point if you want to learn more about the OpenSpaceData project.

wajuqi/Python-geoprocessing

A list of geoprocessing scripts.

aesgeorges/MangroveCaribRS

University of California, Berkeley - Environmental Fluid Mechanics and Hydrology Group - 2022

fauzan9585/FloodML-GEE

The sample codes of a fusion approach for flood mapping in the oil palm estate using different machine learning model. This code was run in Google Earth Engine Platform

Florian-Katerndahl/syntreesizer

syntreesizer tries to offer a consistent interface to the ArcGIS CityEngine

mowerther/iop_nns

On the generalization ability of neural networks for hyperspectral remote sensing of absorption properties across optically complex waters