leizhang-geo / CNN-LSTM_for_DSM
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"
☆54Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for CNN-LSTM_for_DSM
- The latest news about my work on GEE☆20Updated 3 months ago
- A comprehensive workflow for calculating black, white, and blue sky albedos from the MODIS BRDF model parameters product (MCD43A1) using …☆25Updated 3 years ago
- Assignment: Inverting Leaf Area Index (LAI) with MODIS data and ProSAIL model☆15Updated 2 years ago
- Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)☆21Updated last year
- Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.☆18Updated 2 years ago
- Presents an optimised Sentinel-1-based Soil Moisture estimation workflow on tilted topography with permanent vegetation cover☆10Updated 2 years ago
- Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"☆17Updated last year
- A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform☆43Updated last month
- Large-scale digital mapping of soil organic carbon content by using machine learning algorithms☆8Updated 6 years ago
- Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)☆46Updated 5 years ago
- ☆39Updated 2 years ago
- ☆49Updated last year
- The RUSLE model on Google Earth Engine☆21Updated 4 years ago
- Supplementary Material to my Remote Sensing publication 'Sentinel-1-Imagery-Based High-Resolution Water Cover Detection on Wetlands, Aide…☆29Updated 4 years ago
- ☆31Updated 6 years ago
- ☆13Updated last year
- The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.☆35Updated 2 years ago
- ☆18Updated 3 years ago
- ☆27Updated 11 months ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆13Updated 2 years ago
- Future reversal of warming-induced vegetation productivity increase in the Northern Lands☆12Updated 2 years ago
- A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.☆56Updated 3 months ago
- A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: …☆30Updated 3 months ago
- A new open source and web tool to estimate actual ET based on SEBAL model.☆31Updated 9 months ago
- It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation i…☆31Updated 3 months ago
- LandTrendr using the Python API of Google Earth Engine☆15Updated 4 years ago
- ☆35Updated last year
- Non-parametric weighted Whittaker smoothing☆34Updated 6 months ago
- Paper scripts for O and Orth (Scientific Data, 2021)☆13Updated 3 years ago