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"
☆85Updated 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"☆22Updated 2 years ago
- Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.☆25Updated 3 years ago
- Crop yield prediction on remote sensing data using CNN☆27Updated 6 years ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆25Updated 3 years ago
- This repository provides a code to model Land Surface Temperature (LST) as one of the most important environmental factors used to monito…☆11Updated 4 years ago
- Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆23Updated 3 years ago
- Assignment: Inverting Leaf Area Index (LAI) with MODIS data and ProSAIL model☆17Updated 4 years ago
- Presents an optimised Sentinel-1-based Soil Moisture estimation workflow on tilted topography with permanent vegetation cover☆16Updated 3 years ago
- The latest news about my work on GEE☆29Updated last year
- We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.☆48Updated 3 years ago
- 应用Penman-Monteith公式计算气象站的潜在蒸散发（PET）☆19Updated 5 years ago
- A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform☆49Updated last year
- SMAP soil moisture downscaling☆13Updated last year
- ☆22Updated 5 years ago
- ☆35Updated 2 years ago
- It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation i…☆34Updated last year
- ☆58Updated 2 years ago
- A comprehensive workflow for calculating black, white, and blue sky albedos from the MODIS BRDF model parameters product (MCD43A1) using …☆28Updated 4 years ago
- ☆15Updated 2 years ago
- A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.☆45Updated 11 months ago
- Deep Learning Models for Wildfire Danger Forecasting☆78Updated 3 years ago
- Future reversal of warming-induced vegetation productivity increase in the Northern Lands☆13Updated 3 years ago
- Analysis of Sentinel-2 satellite images using Google Earth Engine☆27Updated 6 months ago
- R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various…☆23Updated 2 months ago
- Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS☆77Updated 10 months ago
- Including extents of the High-Mountain Asia region and the sub-resions, as well as the main rivers, lakes and glaciers vector data in th…☆21Updated last month
- ☆41Updated 3 years ago
- Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)☆25Updated 2 years ago
- A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)☆51Updated 3 months ago
- GEE script collection from my works☆13Updated 5 months ago