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3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

active-reinforcement-learning

Active reinforcement learning for semantic segmentation of nuclei in medical imagery

applied-deep-learning

Applied Deep Learning Course

aqua-salt-net

Aqua/Salt cultures UNET

awesome-computational-photography

A curated list of awesome resources for topics related to computational photography via deep learning, which mainly focuses on image alignment and stitching.

basemap-examples

Basemap的一些使用方法和和案例，主要包括散点图、色斑图等

basemaptutorial

A Basemap tutorial for ReadTheDocs

berganzo_et_al_2021_dtm-preprocessing

Script for the preprocessing of MDTs for the detection of archaeological features using CNNs from Berganzo et al. 2021 submitted to Remote Sensing

c3s_subsurf_temp_evaluation

This repository contains the scripts used to assess ORAS5 subsurface temperature in the framework of the Copernicus C3S_511.

china-shapefiles

Shapefiles for drawing China with NCL.

climate-data-tutorial

Learn to use Climate data

colvilleconnectivity

darknet

Hybrid MSRM-based deep learning and multitemporal Sentinel-2-based machine learning algorithm detects near 10k archaeological tumuli in North-western Iberia

data-science-on-geospatial-data

The Copernicus Data Store (CDS) is a one stop shop for a wide range of historical and real time geospatial data from various remote sensing and on-the-ground weather observations. The following notebook is an approach to design a neural network to predict the [Total Precipitation] from the two input variables [Temperature of air at 2m above the surface, Volumetric soil water layer 1].

drl4bs

earth-analytics-python-env

A conda environment and docker container to support using earth and environmental data in Python.

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

energy-balance-ml

VITO pilot study of the UNECE Machine Learning Project

era5_in_gee

Functions and Python scripts to ingest ERA5 data into Google Earth Engine

firehr

fseb

This repository provides a code to model Land Surface Temperature (LST) by Surface Energy Balance (SEB) modeling. The methodology is described in paper: Taheri, M., et al., (2021). Monthly closure of surface energy balance to estimate land surface temperature and evapotranspiration over a watershed considering all the heat storages.

gee-codes

gee-sar-images-change-detection

Small scripts for change detection (harvested fields) in Google Earth Engine using SAR satellite imagery from Copernicus mission

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

geeup

Simple CLI for Google Earth Engine Uploads

global-river-ice-dataset-from-landsat

Python (Google Earth Engine), JavaScript (Google Earth Engine) and R code to extract river ice condition from Landsat satellites, to develop empirical model, and to predict future changes in river ice

global_gpp_vpm_ncep_c3c4

simulation of global GPP using the NCEP reanalysis II considering C3 and C4 difference

green-spaces

Render GeoJSON polygons over aerial imagery and analyse pixels covered by vegetation; used to calculate green spaces in residential gardens

hello_world

for the first time use github

hyperspectral

Research on plants