mangrove

Scripts to demonstrate a mangrove monitoring system using Sentinel-1, Sentinel-2 and Landsat Imagery

Evaluated the performance of 3 billion+ band combinations of 9 vegetation index types by conducting regression analysis to determine the optimal chlorophyll index for chlorophyll content estimation.

SSRS RO2 - Mangrove Research Group is a research group of IPB SSRS Association

Static multilingual Nuxt website for mangrove and aquatic-ecology research, with source-tracked content, accessibility, SEO, and review workflows.

House-powered LoRa P2P mud crab fattening monitor — ESP32 + SX1278 915 MHz sensor grid, automated aeration, real-time dashboard, and thesis-grade aquaculture IoT documentation

🐠 This repository is associated with the manuscript Berbel-Filho et al. (2022).

The Science and Technology Society of Sarasota-Manatee Counties use Landsat data to calculate Normalized Difference Vegetative Index (NDVI) from Landsat NIR and Red Bands and Panchromatic Normalized Difference Vegetative Index (PNDVI) from Panchromatic and NIR Bands to assess the health of Mangrove Forests in Sarasota Bay

Two-stage XGBoost/RF pipeline for mangrove canopy height, AGB, and carbon stock estimation using Sentinel-2 and GEDI over West Kalimantan.

Real-time water quality monitoring for mangrove ecosystems — ESP32 + LoRa + Jetson TK1 field hardware with a live Flask/PostgreSQL/React backend deployed at integramosoe.com

MVI Mapper

Reproducible two-stage Random Forest regression for wall-to-wall mangrove canopy height, above-ground biomass, and carbon stock estimation using Sentinel-2 and GEDI in Google Earth Engine, with an interactive dual-sidebar UI and per-stage model diagnostics.

This repository was created for the research project that uses of open data approach. All coding and source code will be sharing here.

A shared repository of survey methods, data preprocessing routines, and analysis tools for crab ecology.

PYthon Models for AgeNt-based resource GAthering (pyMANGA): Describing vegetation population dynamics based on first principles

This notebook demonstrates the implementation of the Automatic Mangrove Map and Index (AMMI) algorithm using Python-based geospatial tools on Google Earth Engine (GEE).

Lightweight Java system for environmental telemetry ingestion, time-series data quality, MQTT QoS 1, anomaly detection, and REST services.

This repository provides a complete workflow for mapping mangrove forests using MVI and Sentinel-2A imagery in R.

Google Earth Engine workflow for Sentinel-2 based mangrove density, Mangrove Health Index (MHI), and TrIVCag aboveground carbon assessment.

Mangrove extent mapping from Planet Tanager-1 hyperspectral imagery (426 bands, 30 m) using adaptive spectral thresholds as pseudo-labels for XGBoost classification. Trains on Sangatta, Indonesia and transfers zero-shot to 5 scenes across 4 sites on 3 continents. Submitted to Planet Tanager Open Data Competition 2026.