shringi / Tree-Height-Map-NBR
Prepare 30m resolution tree-height map for Nilgiri Bioshphere Reserve using Google Earth Engine. Uses GEDI, Landsat-8, ALOS-PALSAR, Sentinel-1 data products.
☆12Updated last year
Alternatives and similar repositories for Tree-Height-Map-NBR:
Users that are interested in Tree-Height-Map-NBR are comparing it to the libraries listed below
- Automated label production model and crop classification model based on GEDI data built on GEE (Google Earth Engine),☆13Updated last year
- GEE code for extracting high-quality remotely sensed data at multiple scales☆13Updated 3 months ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆19Updated 3 years ago
- ☆10Updated 3 months ago
- ☆14Updated 2 years ago
- Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel☆20Updated 3 years ago
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆16Updated last year
- Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.☆20Updated 3 years ago
- Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"☆20Updated 2 years ago
- cellular automata (ca) land use change simulation winform application☆10Updated 7 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 2 years ago
- ☆20Updated 4 years ago
- Here are the codes for the "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification using Sentinel-1, …☆14Updated 2 years ago
- Source code for the paper, "Water Body Extraction from Sentinel-2 Imagery with Deep Convolutional Networks and Pixelwise Category Transpl…☆14Updated 2 years ago
- Here is the code developed for the paper "A deep learning framework based on generative adversarial networks and vision transformer for c…☆17Updated 2 years ago
- ☆15Updated 2 years ago
- Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.☆15Updated 3 years ago
- The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical …☆11Updated 3 years ago
- ThomasWangWeiHong / Water-Body-Extraction-from-Very-High-Spatial-Resolution-Remote-Sensing-Data-Based-on-FCNsPython implementation of Convolutional Neural Network (CNN) proposed in academia☆25Updated 5 years ago
- geospatial-study☆27Updated 11 months ago
- Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)☆23Updated last year
- Presents an optimised Sentinel-1-based Soil Moisture estimation workflow on tilted topography with permanent vegetation cover☆13Updated 2 years ago
- Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019☆28Updated 2 years ago
- Google Earth Engine function to compute Temperature-Vegetation Dryness Index (TVDI)☆10Updated last week
- Monthly surface water mapping in Tibet plateau based on deep learning method and Sentinel-1 image.☆14Updated 2 years ago
- A large-scale VHR parcel dataset and a novel hierarchical semantic boundary-guided network for agricultural parcel delineation☆15Updated 3 weeks ago
- This repository provides a way to extract water bodies using deep learning methods in GEE.☆32Updated 2 years ago
- Code for learning with data heterogeneity (ICDM'21 Best Paper Award)☆14Updated this week
- Remote sensing and spatial analysis tools for Google Earth Engine☆26Updated 2 years ago
- Landslide detection using Random Forest model☆17Updated 4 years ago