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Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。
Parametric Gaussian Process Regression for Big Data
Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"
A set of notebook tutorials for RSGISLib.
R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various inversion strategies. A tutorial can be found on the gitlab…
Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb
Vegetation Spectral-Structural Information eXtraction Algorithm (VSSIXA): Working with Point cloud and LiDAR
Leaf and canopy radiative transfer modeling tools built on PROSPECT-D and SAIL
Python bindings for the PROSAIL canopy reflectance model
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
R-Codes for RSE manuscript "Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass"
An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery. [NeurIPS 2023 Datasets & Benchmarks Track]
Search, composite, and download Google Earth Engine imagery.
R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds
Inversion of 3D LAI from airborne or UAV LiDAR point cloud and reconstruct 3D scenes for radiative transfer simulations.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
MSc dissertation code repository for working with GEDI and ALS lidar data.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.
A Jupyter Book about basic techniques in remote sensing using Google Earth Engine and Python
Work with DEM data using Python from Simple to Complicated. Many python packages will be touched such as GDAL, numpy, xarray, rasterio, folium, cartopy, geopandas etc.