QL114774's starred repositories
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.
Information
Information and resources about bathymetric data from NASA's ICESat-2 mission, created by the ICESat-2 Science Team Bathymetry Working Group.
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.
Stacking_Ensembles
Stacking classification and regression
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.
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.
FZU_Thesis
Latex templates for the thesis of Fuzhou University. 福州大学硕士学位论文LaTeX模板。
improved-DBSCAN
DBSCAN improvement so that the algorithm works well with data with different densities
Soil-Mositure-prediction
Predicting soil moisture using satellite imagery
Estimation-of-PM2.5-PM10-from-Satellite-Imagery
Estimate PM2.5/PM10 from satellite imagery
Stacked-ensemble-regression-model
This repository contains python code for stacked ensemble regression model.
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.
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
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)."
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.
GEE_Code_Arctic_Bathymetry_Modeling
Large-scale bathymetry regression modelling over Arctic waterbodies using Google Earth Engine and machine learning.
Regression-of-biodiversity-indicators
Machine learning for biodiversity measurement in forest habitats from satellite observations
Intertidal-zones-satellite-derived-bathymetry
Repository created to host the main codes used in the first chapter of my thesis
Improved-dbscan-algorithm
一种半自适应的DBSCAN算法
Water_Depth_Inversion-2024
基于多层感知机的Landsat9光学影像水深反演
ICESat-2-and-optical-mission-based-satellite-lake-bathymetry
lake bathymetry using ICESat2 and optical missions satellite