XXII ISPRS Congress 2012: Technical Commission VIII

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

Bibliographic data

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/8: Land]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS Haruhisa Shimoda, Kiyonari Fukue

Document type:: Multivolume work

Structure type:: Chapter

Review, Journal of J (2008) Seath - a he context of on Environmental The Pune Slum 1 information base city development. 7(4), 595-611. ssment - entropy opment with Fuzzy of Geoinformatics, i settlements: a laam, n Series No. 112 rmance of urban ing systems. In: C. hallenges of high rmany. 3). Object-oriented Paper presented at g for Developing lysing the spatial ing : Typology of indicators. Paper te Sensing. ct-Based Building esolution Satellite ia Conference on | slum, Libya and roup Meeting on Netherlands, 21- nline at Identification / )S Satellite Data: nvironment/pp/mi :s 2010/2011: ne (UN- "ugate, D. (2007). je air? Defining vJournal, 69(1), 9- 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 GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS Haruhisa Shimoda, Kiyonari Fukue * Tokai University Research and Information Center, 2-28-4 Tomigaya, Shibuya-ku, Tokyo 151, Japan - (smd, fku)@keyaki.cc.u-tokai.ac.jp Commission VIII, WG VIII/8 KEY WORDS: Global, Land Cover, Classification, Algorithms, Multi-temporal, Multi-spectral ABSTRACT: The objective of this study is to develop high accuracy land cover classification algorithm for Global scale by using multi-temporal MODIS land reflectance products. In this study, time-domain co-occurrence matrix was introduced as a classification feature which provides time-series signature of land covers. Further, the non-parametric minimum distance classifier was introduced for time- domain co-occurrence matrix, which performs multi-dimensional pattern matching for time-domain co-occurrence matrices of a classification target pixel and each classification classes. The global land cover classification experiments have been conducted by applying the proposed classification method using 46 multi-temporal(in one year) SR(Surface Reflectance 8-Day L3) and NBAR(Nadir BRDF-Adjusted Reflectance 16-Day L3) products, respectively. IGBP 17 land cover categories were used in our classification experiments. As the results, SR product and NBAR product showed similar classification accuracy of 99%. 1. INTRODUCTION Land cover maps of global or continental scale are basic information for many kinds of applications, i.e. global change research, modeling, resource management, etc. Several kinds of global land cover maps has been generated, such as IGBP DISCover Global Land Cover, UMD Global Land Cover, and MODIS Land Cover, etc. and these products have been distributed widely. However, accuracies of these global land maps were not sufficiently high. Most of these land cover maps were generated mainly using NDVI and its seasonal changes. However, NDVI data lose most of information contents which were originally included in many channels. The objective of this study is to develop high accuracy land cover classification algorithm for global scale by using multi- temporal MODIS land reflectance products. There are two kinds product of Surface Reflectance 8-Day L3 product and Nadir BRDF-Adjusted Reflectance 16-Day L3 product. Both are composed of 7 spectral bands (620-670nm, 841-876nm, 459-479nm, 545-565nm, 1230-1250nm, 1628-1652nm, and 2105-2155nm) with 500m ground resolution. The former is the atmospheric corrected surface reflectance, while the latter corrects the BRDF effects in addition to the atmospheric correction. In this report, these products are called SR product and NBAR product, respectively. 2. STUDY AREA AND SOURCE DATA SET The target area set in this study covers 140 ' (from 70 north to -70 ' south) and 360 ' for latitude and longitude direction, respectively. The region is covered by about 280 sinusoidal projection(SIN) grids which are distribution granule of SR and NBAR products (as shown in Figure 1). The SR and NBAR products of about 280 SIN grids were mosaicked and transformed to geographic longitude-latitude coordinate system With 0.005 degree interval as shown in Figure 2. This processing was performed by using MODIS Reprojection Tool (MRT) which has been distributed from Land Processes DAAC. Because SR and NBAR products have been produced in eight- day period, mosaic images of 46 scenes were generated as classification target data set for one year of 2007. h > 24 28 2829.30 31 32 3334 35 SEES sun Figure 1. SIN grid. Figure 2. A result of mosaic and geometric transform. ( the scene of 2007.01.01) 3. PROPOSED CLASSIFICATION ALGORITHM 3.1 Classification Feature In this study, time-domain co-occurrence matrix was introduced as a classification feature which provides time-series signature

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