leizhang-geo / CNN-LSTM_for_DSMLinks
Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"
☆72Updated last year
Alternatives and similar repositories for CNN-LSTM_for_DSM
Users that are interested in CNN-LSTM_for_DSM are comparing it to the libraries listed below
Sorting:
- Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"☆21Updated 2 years ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆22Updated 3 years ago
- Assignment: Inverting Leaf Area Index (LAI) with MODIS data and ProSAIL model☆16Updated 3 years ago
- A comprehensive workflow for calculating black, white, and blue sky albedos from the MODIS BRDF model parameters product (MCD43A1) using …☆27Updated 4 years ago
- We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.☆46Updated 2 years ago
- Presents an optimised Sentinel-1-based Soil Moisture estimation workflow on tilted topography with permanent vegetation cover☆16Updated 2 years ago
- ☆35Updated last year
- Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.☆23Updated 3 years ago
- A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform☆48Updated 10 months ago
- ☆57Updated 2 years ago
- Analysis of Sentinel-2 satellite images using Google Earth Engine☆27Updated 3 weeks ago
- The latest news about my work on GEE☆27Updated last year
- A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: …☆55Updated last year
- Crop yield prediction on remote sensing data using CNN☆25Updated 6 years ago
- ☆15Updated 2 years ago
- This repository provides a way to extract water bodies using deep learning methods in GEE.☆33Updated 2 years ago
- ☆22Updated 4 years ago
- The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.☆36Updated 2 years ago
- Remote sensing and spatial analysis tools for Google Earth Engine☆27Updated 2 years ago
- A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
- R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various…☆22Updated 2 weeks ago
- This repository provides a code to model Land Surface Temperature (LST) as one of the most important environmental factors used to monito…☆10Updated 3 years ago
- Deep Learning Models for Wildfire Danger Forecasting☆73Updated 2 years ago
- Supplementary Material to my Remote Sensing publication 'Sentinel-1-Imagery-Based High-Resolution Water Cover Detection on Wetlands, Aide…☆32Updated 5 years ago
- Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS☆73Updated 5 months ago
- A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.☆83Updated last year
- SMAP soil moisture downscaling☆12Updated last year
- A new open source and web tool to estimate actual ET based on SEBAL model.☆45Updated 4 years ago
- A CNN is trained to perform the estimation of the NDVI, using coupled Sentinel-1 and Sentinel-2 time-series.☆36Updated 7 years ago
- Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)☆24Updated last year