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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

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Mapping the Philippines' mangrove forests using Landsat imagery.

Jordan B Long¹, Chandra Giri

¹US Geological Survey, Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA. jlong@usgs.gov

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

Accurate mangrove forest mapping in the Philippines is crucial. This study mapped Philippine mangrove extent circa 2000, revealing approximately 256,185 hectares, aiding conservation efforts.

Keywords:

Landsat mangrove mapping unsupervised classification

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Area of Science:

* Remote sensing and geospatial analysis of coastal ecosystems.
* Environmental monitoring and natural resource assessment.

Background:

* Limited current, accurate data on Philippine mangrove extent and spatial distribution.
* Previous estimates lacked comprehensive national spatial coverage.

Purpose of the Study:

* To map the spatial distribution and areal extent of Philippine mangroves circa 2000.
* To provide reliable data for mangrove conservation and rehabilitation initiatives.

Main Methods:

* Utilized publicly available Landsat satellite data from the Global Land Survey.
* Employed ISODATA clustering, an unsupervised classification technique, on 61 Landsat images.
* Achieved high classification accuracy (96.6%) with a kappa coefficient of 0.926.

Main Results:

* Total mangrove forest cover in the Philippines was estimated at approximately 256,185 hectares circa 2000.
* Detailed spatial distribution maps were generated for the entire country.
* Results significantly differ from most recent mangrove area estimates.

Conclusions:

* The study provides a reliable baseline for Philippine mangrove extent and distribution circa 2000.
* Findings support informed decision-making for crucial mangrove rehabilitation and conservation programs.
* Highlights the need for updated assessments to protect and restore degraded mangrove ecosystems.