QL114774

QL114774

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pyTMD

Python-based tidal prediction software

Language:PythonLicense:MITStargazers:116Issues:11Issues:49

Keras-Remote-sensing-image-retrieval

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.

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Information

Information and resources about bathymetric data from NASA's ICESat-2 mission, created by the ICESat-2 Science Team Bathymetry Working Group.

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OpticalRS

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

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pysamosa

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 water bodies. Satellite altimetry is a space-borne remote sensing technique used for Earth observation.

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Stacking_Ensembles

Stacking classification and regression

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Water-Quality-Prediction-using-ML-technique

In this post, I have implement a water quality prediction using machine learning techniques. In this technique, our model predicts that the water is safe to drink or not using some parameters like Ph value, conductivity, hardness, etc.

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polymer

Polymer atmospheric correction

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ICESat-2-Satellite-Derived-Bathymetry-using-Landsat-8-data

Code to process ICESat-2 ATL03 photon returns into refraction corrected bathymetry and collocate the data to reflectance values from Landsat 8 multispectral data (Processed in the SeaDAS program) to interpolate depth in optically shallow water.

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grs

Atmospheric correction processor for high spatial resolution multispectral satellite images

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FZU_Thesis

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

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improved-DBSCAN

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

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Soil-Mositure-prediction

Predicting soil moisture using satellite imagery

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Estimation-of-PM2.5-PM10-from-Satellite-Imagery

Estimate PM2.5/PM10 from satellite imagery

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Stacked-ensemble-regression-model

This repository contains python code for stacked ensemble regression model.

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Random_Forest_Hyperparameter_Optimization

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, RandomizedSearch, Bayesian optimization, and Genetic algorithm. The defualts and ranges for random forest regerssion hyperparameters will be the values we will attempt to optimize.

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Remote_Sensing_Study_of_Gypsy_Moth_Defoliation

For my final project in Intermediate Quantitative Methods, my partners and I evaluated different remote sensing indicators of defoliation and tested different classification methods

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hachiroko202207-neuralNetworkEstimation

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, Hiroshi YOKOYAMA, Miyuki ASANO, Yoichi KAGEYAMA)."

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Land_Surface_Temperature_Future_Prediction

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

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GEE_Code_Arctic_Bathymetry_Modeling

Large-scale bathymetry regression modelling over Arctic waterbodies using Google Earth Engine and machine learning.

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Regression-of-biodiversity-indicators

Machine learning for biodiversity measurement in forest habitats from satellite observations

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Intertidal-zones-satellite-derived-bathymetry

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

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Improved-dbscan-algorithm

一种半自适应的DBSCAN算法

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Water_Depth_Inversion-2024

基于多层感知机的Landsat9光学影像水深反演

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ICESat-2-and-optical-mission-based-satellite-lake-bathymetry

lake bathymetry using ICESat2 and optical missions satellite

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