arkenjan Goto Github PK

alos_gee

Ingest ALOS imagery hosted on ASF into Google Earth Engine; Then classify inundated wetland

bayesian-geographically-weighted-regression

The code to conduct Bayesian geographically weighted regression

bayesian_lsp

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse 30 m Landsat time series.

blackhat-python3

Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate issues of dependency resolution involving deprecated modules.

cm

cnn-lstm-prediction

使用CNN-LSTM模型对天气数据进行分析，从而预测发病率。The CNN-LSTM model is used to analyze the weather data and predict the incidence rate.

cnn_lstm_era

Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"

conceptformation

Code for our paper: Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks

crop-classification

crop classification using deep learning on satellite images

crop-type-mapping

Crop type mapping of small holder farms in Ghana, and South Sudan

cuestarfm

cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

custarfm

cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-water-map

a deep model that segments water on multispectral images

deep-wetlands

Repository for the Deep Wetlands project in which we detect changes in water extension of wetlands my using multispectral and SAR images

deeplearning_landuseclassification

deeplearningforlanduselandcoverclassification

dense-u-net

Dense-U-net: Dense encoder-decoder network for holographic imaging of 3D particle field

dl-for-satellite-image-analysis

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

dl4es

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

ee-tensorflow-notebooks

Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.

eewpython

A series of Jupyter notebook to learn Google Earth Engine with Python

fcn-water-flow

Official PyTorch implementation for the SAIS 2023 paper "Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas"

free-shared-spatiotemporal-method-of-remote-sensing-

spatiotemporal fusion method

function

fwdet

Calculate floodwater depth based on an inundation polygon (e.g. from remote sensing) and a DEM. See: http://csdms.colorado.edu/wiki/Model:FwDET

gee-image-fusion

geehydro

A Python package for mapping inundation dynamics using Google Earth Engine

geospatial-study

geospatial-study