XXII ISPRS Congress 2012: Technical Commission VII

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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:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

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

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

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:: [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: SEMI-AUTOMATED CLOUD/SHADOW REMOVAL AND LAND COVER CHANGE DETECTION USING SATELLITE IMAGERY A. K. Sah, B. P. Sah, K. Honji, N. Kubo, S. Senthil

Document type:: Multivolume work

Structure type:: Chapter

om the e field ng was 1domly z result It from ch with er 242 val id haze 1g. The good, which date of moved 00nm). — oval image oved ) good, which date of on among ell as except use of caused misclassification. The LC class “Settlements” was extracted with relatively more manual editing and hence the omission and commission errors for this class are relatively low. Settle- | Other Row Omission ments | Land Error (in % (Pixels) 115 18.3 32 12.5 21.6 24.0 12.5 30.8 Cropland Wetlands Land Overall 80 Sample Calculation: Omission Error of Forest Land = 21/115 = 18.3% Commission Error of Forest Land = 4/98 = 4.1% Overall Accuracy = 186 / 230 = 80.9% Table 1. Accuracy Assessment of LC Result from ALOS AVNIR-2 LC pattern among the analyzed 3 epochs is similar, Figure 5. This is also supported from the result of pixel tracking between 1995 and 2009 LC result so presented in Table 2 which indicates vey less change in forest change for the tracked pixels. Landsat 5 TM (1990) Image and Classified LC Figure 5. Satellite Image of 3 Epochs (bands 4, 3,2 as R, G, B) and Classified LC International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia Med Land Cover 2009 | Forest | | Settte. | Orher bacon Land : Cropland | Grassiand | Wetlands ments | Land 5 hd Bixci Court Laud Cover 1985 : al = : 38 17 33 i 3 | i Forest Land 158 & 3 it b i ; f Cropland 25 m 7 1 o | 0 Grassiand 18 è A 0 o i i Wettands as à e A: ü n Settlements | 3 0: f o f | x 9 Other Land 3 6: 1 2 oj ef à Total Number of Pixels Analyzed = 242 Table 2. Result of Analyzed Pixels for LC Change from 1995 to 2009 Comparatively, the change between cropland and grassland is more and mis-classification may be a reason for this. Moreover, it shall be noted that, spatial resolution for used satellite data are different. The spatial resolution is 30m for Landsat TM and ETM+, and 10m for ALOS AVNIR-2. Also, the “Unsupervised classification” was carried out with 6 bands for Landsat and ETM+ data and 4 bands for ALOS AVNIR-2 data. Moreover, in the analyzed area, there is location specific change of LC and can be traced out only upon detail analysis, such as at location presented in Figure 6. Landsat TM (1995) Landsat ETM+ (2002) : ALOS AVNIR-2 (2009) Image and Classified IC Image and Classified LC fmage and Classified LC ; Figure 6. An Example of Land Cover Change (1995 to 2009) 5. CONCLUSIONS The approach devised for cloud/shadow and haze removal and LC change detection has good results. The accuracy of LC classification is also promising one. The program used for processing also considers classification of large number of imageries in the shortest possible time with required number of LC classes, specifically for REDD+ application with [PCC standard. This involves less human intervention and can classify imagery for extracting LC in wide variety of landscape and different dated data; thus can be considered as semi- automatic. Thus, this semi-automated methodology is expected to be suited for diversified conditions and allow processing of large number of imageries in comparatively less time, which will be very useful in analysis of successive change/monitoring of tropical rain forest in Africa.

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