Datasets related to remote sensing and deep learning

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Google Earth Engine-based Species Distribution Modeling

Automated label production model and crop classification model based on GEDI data built on GEE (Google Earth Engine),

Random Forest or XGBoost? It is Time to Explore LCE

Open source remote sensing dataset with benchmarks

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网页播放器增强脚本，支持：播放进度记录、播放倍率记录、快进快退、倍速播放、画面缩放等

使用deeplab_v3模型对遥感图像进行分割

Python - 100天从新手到大师

TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)

semantic segmentation,DeepLab,U-Net,SCSENet,BAM,DenseASPP,Remote sensing,tensorflow2

Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.

机器学习(Machine Learning, ML)python简洁实现，包括混合高斯模型，KMeans，决策树，随机森林，K近邻，线性判别分析，逻辑斯蒂回归（梯度下降法，牛顿法），多层感知机（分类+回归），Naive Bayes（离散+高斯），多分类SVM，线性回归，隐马尔可夫模型（包括前向算法，后向算法，Viterbi算法和BaumWelch算法），主成分分析等模型

A 30-m dataset that mapped the areas of soybean planting in Heilongjiang Province was produced, for the period of 1984~2020, based on Landsat-5/7/8 images and the Google Earth Engine (GEE) platform…

Mapping Agricultural Plastic Greenhouses Using Google Earth Images and Deep Learning

A package for HYSPLIT air parcel trajectory analysis.

Remote-sensing-based crop mapping implemented using UNet architecture

机器学习算法经典案例

Codes for time series forecast

Crop Classification of Remotely Sensed Images containing Multi Temporal and Multispectral Information

using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data

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Python空间数据处理实战

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基于Keras的LSTM多变量时间序列预测