Scripts to demonstrate a mangrove monitoring system using Sentinel-1, Sentinel-2 and Landsat Imagery
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Updated
Jun 19, 2022 - Python
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
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
Static multilingual Nuxt website for mangrove and aquatic-ecology research, with source-tracked content, accessibility, SEO, and review workflows.
🐠 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.
MVI Mapper
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
This repository was created for the research project that uses of open data approach. All coding and source code will be sharing here.
Lightweight Java system for environmental telemetry ingestion, time-series data quality, MQTT QoS 1, anomaly detection, and REST services.
A shared repository of survey methods, data preprocessing routines, and analysis tools for crab ecology.
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 notebook demonstrates the implementation of the Automatic Mangrove Map and Index (AMMI) algorithm using Python-based geospatial tools on Google Earth Engine (GEE).
Mangrove Ecosystem Mapping Using Multisumber Images (Sentinel-2A and Sentinel-1) Using Cloud-Based Computing In Balikpapan Bay in 2019 and 2022.
In order to promote mangrove growth, a matrix model of its regeneration after disturbances was obtained from a research paper written by Peter J. Clarke entitled "The population dynamics of the mangrove Avicennia marina; demographic synthesis and predictive modeling." To accomplish this, concepts from linear algebra were applied, using Python to…
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To associate your repository with the mangrove topic, visit your repo's landing page and select "manage topics."