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LANDSAT Step-by-step Processing Manual Feature Extraction Processing Using LANDSAT 7 ETM+ : a training manual

Tavora Jr., F., et.al. .(2013). LANDSAT Step-by-step Processing Manual Feature Extraction Processing Using LANDSAT 7 ETM+ : a training manual. Quezon City : Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH. 

 

Successful implementation of climate change mitigation policies related to Reducing Emissions from Deforestation and Forest Degradation Plus (REDD+) would require information about forest biomass, land cover resources, as well as forest resources. Remote sensing (RS), a valuable tool for

generating forest cover maps and estimation of forest carbon stocks, and its application to forest cover mapping were explored by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). In the absence of historical forest inventory data, RS can also provide historical information on forests given available temporal satellite imagery, which are freely available to users, such as those acquire by the Landsat 7 ETM+ sensor.

 

GIZ, in collaboration with the Department of Environment and Natural Resources Forest Management Bureau (DENR-FMB), is implementing the project “Climate-relevant Modernization of Forest Policy and Piloting of REDD in the Philippines” with funding from the International Climate Initiative of the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU). The Project supports the implementation of the Philippine National REDDPlus Strategy (PNRPS) with, inter alia, capacity building on measuring, reporting, verification (MRV) for REDD+, using satellite imagery for forest and land use change analysis.

 

In line with the MRV activities for REDD-plus, GIZ in collaboration with the University of the Philippines Diliman – Department of Geodetic Engineering (UP-DGE) organized and conducted a Training-Workshop on Remote Sensing for REDD+ MRV System last March 28, April 1, and April 4-5, 2011 at the Remote Sensing Laboratory of UP-DGE. The training workshop’s goal was to introduce important stakeholders to (1) basic remote sensing concepts, (2) pre-processing techniques of Landsat 7 images, and (3) deforestation detection as well as accuracy assessment, which are all valuable concepts that will help them understand the capabilities of remote sensing in terms of generating fast and cost-effective forest cover maps, which are useful for monitoring changes and vital for the MRV System Development.

 

This manual was consolidated in close collaboration with Mesa-Consult and UP-DGE, and was prepared to guide the participants of the said workshop. We hope that this manual will become a useful and effective guide for Geographic Information System (GIS) / RS practitioners, aiming to use free satellite imagery such as the Landsat 7 ETM+ images.

Author: 
Francisco Tavora Jr., Joerg Seifert-Granzin, Julius Bañgate, Mari Trix L. Estomata
Subject: 
LANDSAT 7 ETM+
File: 
PDF icon LANDSAT Step-by-step Processing Manual Feature Extraction Processing Using LANDSAT 7 ETM+.pdf
Physical Location: 
CD REDD+ 2013 kp
Project Title: 
Modernization of Forest Policy and Piloting of Reducing Emissions from Deforestation and Forest Degradation (REDD) Project
Publication Type: 
Handbooks / Manuals / Modules