XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/7: Forestry]

Document type:: Multivolume work

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Chapter

Title:: A CASE STUDY OF A FOREST CARBON STOCK MONITORING SYSTEM FOR REDD+ IN LAO P.D.R. M. Nasu, T. Sano, K. Oono, Y. Wada, R. Nakada, T. Yamase, S. Tomimura, T. Furuya, G. Matteo, C. Kamusoko, Y. Gomi, T. Isobe, A. Iwata, H. Moriike, S. Hironaga, T. Hosokawa, T. Someya, A. Wachi, Khamma Homsysavath

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia A CASE STUDY OF A FOREST CARBON STOCK MONITORING SYSTEM FOR REDD+ IN LAO P.D.R. M. Nasu**, T. Sano*, K. Oono*, Y. Wada?, R. Nakada?, T. Yamase?, S. Tomimura?, T. Furuya*, G. Matteo*, C. Kamusoko?, Y. Gomi ? , T. Isobe?,A. Iwata*, H. Moriike^, S. Hironaga?, T. Hosokawa?, T. Someya*, A. Wachi*, Khamma Homsysavath® * Asia Air Survey Co., Ltd., 1-2-2, Manpukuji, Asao-ku, Kawasaki-shi, Kanagawa-ken, 215-0004, Japan - (mi.nasu @ajiko.co.jp) ^ Forest Inventory and Planning Division(FIPD), Department of Forestry, Ministry of Agriculture and Forestry, Lao P.D.R. Commission VIII, WG VIII/7 KEY WORDS: . REDD-, tropical forest, carbon, MRV, land use/cover map, biomass class, reference level, tree height ABSTRACT: Various technical studies for building forest monitoring system for MRV system of REDD+ has been implemented utilizing satellite remote sensing technology and ground survey upon configuring two pilot study areas, at whole Louangphabang (LPB) province (approximately 20,000 km?) and in Bolikhmxai(BLK) province (approximately 4,400 km?) in Lao PDR. Multi-temporal land use/cover data were prepared for making analyses of deforestation and forest degradation caused by various driving factors, and to establish reference scenario for REDD+. In addition to ordinary method of forest carbon stock estimation based on the forest plot surveys, land use/cover maps and IPCC's emission factors (GOFC-GOLD, 2010), improved methods were studied introducing a concept of biomass classing derived from multispectral data and tree height measurement utilizing ALOS/PRIS stereo images, in order to reduce difficulty of field surveys at high altitude and steep mountain forest, especially in natural forest areas. First, multi-temporal land use/cover maps were prepared for two pilot study areas for analyzing deforestation and forest degradation of the subjected area. Then, the biomass level of “Current Forest” area of the land use/cover maps were classified into three classes as high, medium, and low applying spectral analyses of LANDSAT/TM and SPOT images, and based on visual interpretation results of pan-sharpened ALOS/AVNIR2 images in addition to limited number of field surveys as references. Matching accuracies were around 60% at this stage of study (This number improved to 85% at the later stage). Based on the field survey data, the forest carbon stock vs. tree height model was established, and furthermore it was related to the forest biomass classes. ALOS/PRISM images were used to measure heights at about 1,500 forest stands selected at 2 - 4 km grid intervals. Accuracy analyses showed that the standard deviation of the tree height measurement errors was approximately 4 - 5 m, but the mean value of the measured data were within 1- 2 m comparing to the field survey data. Finally, wall-to-wall, above-ground forest carbon stock estimation maps which would be useful for forest management and REDD+ were prepared. As a conclusion, it can be said that 3D measurement, in addition to multi-spectral information, of the forest provides useful information for monitoring forest carbon stock for REDD+ although further refinement of technologies is to be needed. And, the results and experiences obtained from the studies will provide useful data for establishing actual MRVsystem. 1. INTRPDUCTION imple mentation Framework” was carried out in order to contribute to the early realization of the REED mechanism with cooperation of the REDD+ refer to efforts and initiatives for the reduction of greenhouse gas (GHG) emission through vigorously increasing forest carbon stocks based on reducing the deforestation and forest degradation and implementing afforestation programs and forest conservation in developing countries. It is anticipated that the reduction of GHG emissions enabled by such efforts can be treated as carbon credits in the same way as carbon credits from use of renewable energies and improvement of energy efficiency, and consequently be used for carbon offsetting, etc. À case study (Study) entitled “Study on the Strengthening of Methodological and Technological Approaches for Reducing Deforestation and Forest Degradation within the REDD Forest Inventory and Planning Division, Department of Forestry, Ministry of Agriculture and Forestry, Lao PD.R., and Asia Air Survey Co. Ltd. (Japan), with a support of the Forest Agency, Ministry of Agriculture, Forestry and Fishery, Japan, from 2009 to 2011. Objectives of the MRV(Measurement, Reporting and Verification) system in REDD+ are to measure and provide forest carbon stock data arising from REDD+ activities and valid enough for credit trading, etc. Outline and outcomes of the three year's study project are shown in Table 1. The scope of MRV in REDD+ mechanism is broad and complex. In this paper, results of remote sensing and photogrammetric analyses are mainly discussed. More detailed reports are given by Asia Air Survey (2011) and Kamusoko et al. (2011), etc.

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