遥感反演

A noise denoising algorithm

A powerful stacked ensemble model for income prediction, combining GradientBoosting, AdaBoost, Bagging, Linear Regression, and Decision Trees. Achieves an impressive R² of 0.8761 on the RoS_sample_…

Satellite-derived bathymetry toolkit

Satellite Derived Bathymetry Product for the Pacific Region

Code and data repository for the paper

Aboveground Biomass Estimation using Random Forest and data from Sentinel-1, 2 , AlOS PALSAR-2 and GEDI

The primary objective of the project is to apply machine learning models to predicting biomass density from Sentinel-2 satellite imagery

Tide Model Driver for MATLAB, version 3.0

PySAMOSA is a software framework for processing open ocean and coastal waveforms from SAR satellite altimetry to measure sea surface heights, wave heights and wind speed for the oceans and inland w…

This repository for the paper "Estimating water quality through neural networks using Terra ASTER data, water depth, and temperature of Lake Hachiroko, Japan (authors: Kai MATSUI, Hikaru SHIRAI, Hi…

Python implementation of remote sensing methods from papers by David R. Lyzenga and others.

Python-based tidal prediction software

Latex templates for the thesis of Fuzhou University. 福州大学硕士学位论文LaTeX模板。

A random forest regression model is fit and hyperparamters tuned. Several methods are examined by k-fold cross validation performed for each combination of parameter for tuning using GridSearch, Ra…

This repository contains python code for stacked ensemble regression model.

Stacking classification and regression

基于多层感知机的Landsat9光学影像水深反演

this is an implement of DenseNet using keras ,this project can do Remote sensing image classifiy or retrieval.I trained and evaluated this model on a dataset called PatternNet.

Repository created to host the main codes used in the first chapter of my thesis

Atmospheric correction processor for high spatial resolution multispectral satellite images

一种半自适应的DBSCAN算法

DBSCAN improvement so that the algorithm works well with data with different densities

lake bathymetry using ICESat2 and optical missions satellite

Predicting soil moisture using satellite imagery

This repository hosts a Python application designed to predict Land Surface Temperature (LST) using data from Google Earth Engine and machine learning techniques.