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flux-data-footprint_eddycovariance

Footprint estimation and analysis for eddy covariance flux tower data

flux-data-qaqc_eddycovariance

Energy Balance Closure Analysis and Eddy Flux Data Post-Processing

forecasting-vegetation-dynamics-in-an-open-ecosystem

geeet

Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine

geegprphenodemos

Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"

geesebal

A new open source and web tool to estimate actual ET based on SEBAL model.

geesebal-1

A new open source and web tool to estimate actual ET based on SEBAL model.

generatepkl

This script will generate PKL data file from images

geospatial-data-catalogs

A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

geospatial.whl

Geospatial library wheels for Python on Windows

geotorchai

GeoTorch: A Spatiotemporal Deep Learning Framework

glip_zero_shot_pretrained

Grounded Language-Image Pre-training

google-research_tft

Google Research

gsis_rice_classification

Code repository for dela Torre et al (2021) Phenology-based delineation of irrigated and rain-fed paddy fields with Sentinel-2 imagery in Google Earth Engine

h2rbox-mmrotate

harvestify

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

hydromst

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning

hyriver.github.io

A Python software stack for retrieving hydroclimate data from web services.

ibicus_climate_downscaling

Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.

infinitegpt

InfiniteGPT is a Python script that lets you input an unlimited size text into the OpenAI API. No more tedious copy & pasting. Long live multithreading!

insitu_constrained_rf_ssm

keras-transfer-learning-inception-resnetv2

Keras and tensorflow transfer learning, starting from the pre-trained inception_resnetV2 model

l8-ten-st-gee

Ten-ST-GEE has the ability to automatically transform 100-m to 10-m LST at Landsat-8 overpass time. Statistical and regression analysis as well as bandpass adjustments were used in this system. Ten-ST-GEE was applied over two agricultural lands and two urban regions in the United States and in Lebanon. The proposed approach seemed most valuable when producing information even at the building-level or showing the heterogeneity of the agricultural parcels.

labelimg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

labelingtrainingsamples

landsatxplore

Search and download Landsat scenes from EarthExplorer.

landsurfacephenology_sentinel2

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

ludwig_dl_ml_library

Data-centric declarative deep learning framework

lue_yield

:exclamation: This is a read-only mirror of the CRAN R package repository. lue — Light Use Efficiency Model to Estimate Biomass and YIELD with and Without Vapour Pressure Deficit