메뉴 건너뛰기




Volumn 10, Issue 2, 2018, Pages

Demonstration of percent tree cover mapping using Landsat Analysis Ready Data (ARD) and sensitivity with respect to Landsat ARD processing level

Author keywords

Analysis Ready Data; Landsat; Processing level; Regression tree mapping; Tree cover

Indexed keywords

DISTRIBUTION FUNCTIONS; FORESTRY; MAPPING; REFLECTION;

EID: 85042550946     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10020209     Document Type: Article
Times cited : (34)

References (65)
  • 1
    • 84865427954 scopus 로고    scopus 로고
    • A review of large area monitoring of land cover change using Landsat data
    • Hansen, M.C.; Loveland, T.R. A review of large area monitoring of land cover change using Landsat data. Remote Sens. Environ. 2012, 122, 66-74
    • (2012) Remote Sens. Environ , vol.122 , pp. 66-74
    • Hansen, M.C.1    Loveland, T.R.2
  • 3
    • 0035141621 scopus 로고    scopus 로고
    • Classification and change detection using Landsat TM data: When and how to correct atmospheric effects?
    • Song, C.;Woodcock, C.E.; Seto, K.C.; Lenney, M.P.; Macomber, S.A. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Remote Sens. Environ. 2001, 75, 230-244
    • (2001) Remote Sens. Environ , vol.75 , pp. 230-244
    • Song, C.1    Woodcock, C.E.2    Seto, K.C.3    Lenney, M.P.4    Macomber, S.A.5
  • 4
    • 41349115888 scopus 로고    scopus 로고
    • A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change and preliminary results for Central Africa
    • Hansen, M.C.; Roy, D.P.; Lindquist, E.; Adusei, B.; Justice, C.O.; Altstaat, A. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change and preliminary results for Central Africa. Remote Sens. Environ. 2008, 112, 2495-2513
    • (2008) Remote Sens. Environ , vol.112 , pp. 2495-2513
    • Hansen, M.C.1    Roy, D.P.2    Lindquist, E.3    Adusei, B.4    Justice, C.O.5    Altstaat, A.6
  • 6
    • 56349134511 scopus 로고    scopus 로고
    • The suitability of decadal image data sets for mapping tropical forest cover change in the Democratic Republic of Congo: Implications for the mid-decadal global land survey
    • Lindquist, E.; Hansen, M.C.; Roy, D.P.; Justice, C.O. The suitability of decadal image data sets for mapping tropical forest cover change in the Democratic Republic of Congo: Implications for the mid-decadal global land survey. Int. J. Remote Sens. 2008, 29, 7269-7275
    • (2008) Int. J. Remote Sens , vol.29 , pp. 7269-7275
    • Lindquist, E.1    Hansen, M.C.2    Roy, D.P.3    Justice, C.O.4
  • 8
    • 85017133603 scopus 로고    scopus 로고
    • A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series
    • White, J.C.; Wulder, M.A.; Hermosilla, T.; Coops, N.C.; Hobart, G.W. A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sens. Environ. 2017, 194, 303-321
    • (2017) Remote Sens. Environ , vol.194 , pp. 303-321
    • White, J.C.1    Wulder, M.A.2    Hermosilla, T.3    Coops, N.C.4    Hobart, G.W.5
  • 10
    • 84961815144 scopus 로고    scopus 로고
    • Optical remotely sensed time series data for land cover classification: A review
    • Gómez, C.; White, J.C.;Wulder, M.A. Optical remotely sensed time series data for land cover classification: A review. ISPRS J. Photogramm. Remote Sens. 2016, 116, 55-72
    • (2016) ISPRS J. Photogramm. Remote Sens , vol.116 , pp. 55-72
    • Gómez, C.1    White, J.C.2    Wulder, M.A.3
  • 11
    • 85022176708 scopus 로고    scopus 로고
    • Change detection using Landsat time series: A review of frequencies, preprocessing, algorithms, and applications
    • Zhu, Z. Change detection using Landsat time series: A review of frequencies, preprocessing, algorithms, and applications. ISPRS J. Photogramm. Remote Sens. 2017, 130, 370-384
    • (2017) ISPRS J. Photogramm. Remote Sens , vol.130 , pp. 370-384
    • Zhu, Z.1
  • 12
    • 85042523591 scopus 로고    scopus 로고
    • (accessed on 21 December 2017)
    • U.S. Landsat Analysis Ready Data (ARD). Available online: https://landsat.usgs.gov/ard (accessed on 21 December 2017)
    • U.S Landsat Analysis Ready Data (ARD)
  • 14
    • 41249103454 scopus 로고    scopus 로고
    • Mapping land-cover modifications over large areas: A comparison of machine learning algorithms
    • Rogan, J.; Franklin, J.; Stow, D.; Miller, J.; Woodcock, C.; Roberts, D. Mapping land-cover modifications over large areas: A comparison of machine learning algorithms. Remote Sens. Environ. 2008, 112, 2272-2283
    • (2008) Remote Sens. Environ , vol.112 , pp. 2272-2283
    • Rogan, J.1    Franklin, J.2    Stow, D.3    Miller, J.4    Woodcock, C.5    Roberts, D.6
  • 15
    • 84921314842 scopus 로고    scopus 로고
    • Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction
    • Yan, L.; Roy, D.P. Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction. Remote Sens. Environ. 2015, 158, 478-491
    • (2015) Remote Sens. Environ , vol.158 , pp. 478-491
    • Yan, L.1    Roy, D.P.2
  • 16
    • 0029473455 scopus 로고
    • The effect of training set size and composition on artificial neural network classification
    • Foody, G.M.; McCulloch, M.B.; Yates, W.B. The effect of training set size and composition on artificial neural network classification. Int. J. Remote Sens. 1995, 16, 1707-1723
    • (1995) Int. J. Remote Sens , vol.16 , pp. 1707-1723
    • Foody, G.M.1    McCulloch, M.B.2    Yates, W.B.3
  • 17
  • 19
    • 85023617940 scopus 로고    scopus 로고
    • Examination of Sentinel-2A multi-spectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance
    • Roy, D.P.; Li, J.; Zhang, H.K.; Yan, L.; Huang, H. Examination of Sentinel-2A multi-spectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance. Remote Sens. Environ. 2017, 199, 25-38
    • (2017) Remote Sens. Environ , vol.199 , pp. 25-38
    • Roy, D.P.1    Li, J.2    Zhang, H.K.3    Yan, L.4    Huang, H.5
  • 20
    • 85042553229 scopus 로고    scopus 로고
    • (accessed on 13 January 2017)
    • Global Web-Enabled Landsat Data. Available online: https://globalweld.cr.usgs.gov/(accessed on 13 January 2017)
    • Global Web-Enabled Landsat Data
  • 22
    • 85042552003 scopus 로고    scopus 로고
    • (accessed on 21 December 2017)
    • Landsat Collections. Available online: https://landsat.usgs.gov/landsat-collections (accessed on 21 December 2017)
    • Landsat Collections
  • 24
    • 84982293141 scopus 로고    scopus 로고
    • A note on the temporary mis-registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery
    • Storey, J.; Roy, D.P.; Masek, J.; Gascon, F.; Dwyer, J.; Choate, M. A note on the temporary mis-registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery. Remote Sens. Environ. 2016, 186, 121-122
    • (2016) Remote Sens. Environ , vol.186 , pp. 121-122
    • Storey, J.1    Roy, D.P.2    Masek, J.3    Gascon, F.4    Dwyer, J.5    Choate, M.6
  • 25
    • 39749112645 scopus 로고    scopus 로고
    • The Availability of Cloud-free Landsat ETM+ data over the Conterminous United States and Globally
    • Ju, J.; Roy, D.P. The Availability of Cloud-free Landsat ETM+ data over the Conterminous United States and Globally. Remote Sens. Environ. 2008, 112, 1196-1211
    • (2008) Remote Sens. Environ , vol.112 , pp. 1196-1211
    • Ju, J.1    Roy, D.P.2
  • 26
    • 84920848909 scopus 로고    scopus 로고
    • A one year Landsat 8 conterminous United States study of cirrus and non-cirrus clouds
    • Kovalskyy, V.; Roy, D.P. A one year Landsat 8 conterminous United States study of cirrus and non-cirrus clouds. Remote Sens. 2015, 7, 564-578
    • (2015) Remote Sens , vol.7 , pp. 564-578
    • Kovalskyy, V.1    Roy, D.P.2
  • 28
    • 84865425646 scopus 로고    scopus 로고
    • Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods
    • Ju, J.; Roy, D.P.; Vermote, E.; Masek, J.; Kovalskyy, V. Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods. Remote Sens. Environ. 2012, 122, 175-184
    • (2012) Remote Sens. Environ , vol.122 , pp. 175-184
    • Ju, J.1    Roy, D.P.2    Vermote, E.3    Masek, J.4    Kovalskyy, V.5
  • 30
    • 84983416662 scopus 로고    scopus 로고
    • Landsat 5 Thematic Mapper reflectance and NDVI 27-year time series inconsistencies due to satellite orbit change
    • Zhang, H.K.; Roy, D.P. Landsat 5 Thematic Mapper reflectance and NDVI 27-year time series inconsistencies due to satellite orbit change. Remote Sens. Environ. 2016, 186, 217-233
    • (2016) Remote Sens. Environ , vol.186 , pp. 217-233
    • Zhang, H.K.1    Roy, D.P.2
  • 31
    • 80051985673 scopus 로고    scopus 로고
    • Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project
    • Hansen, M.C.; Egorov, A.; Roy, D.P.; Potapov, P.; Ju, J.; Turubanova, S.; Kommareddy, I.; Loveland, T.R. Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project. Remote Sens. Lett. 2011, 2, 279-288
    • (2011) Remote Sens. Lett , vol.2 , pp. 279-288
    • Hansen, M.C.1    Egorov, A.2    Roy, D.P.3    Potapov, P.4    Ju, J.5    Turubanova, S.6    Kommareddy, I.7    Loveland, T.R.8
  • 34
    • 79960831514 scopus 로고    scopus 로고
    • Monitoring US agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
    • Boryan, C.; Yang, Z.; Mueller, R.; Craig, M. Monitoring US agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program. Geocarto Int. 2011, 26, 341-358
    • (2011) Geocarto Int , vol.26 , pp. 341-358
    • Boryan, C.1    Yang, Z.2    Mueller, R.3    Craig, M.4
  • 36
    • 0242494415 scopus 로고    scopus 로고
    • Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS vegetation continuous fields algorithm
    • Hansen, M.C.; DeFries, R.S.; Townshend, J.R.G.; Carroll, M.; Dimiceli, C.; Sohlberg, R.A. Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS vegetation continuous fields algorithm. Earth Interact. 2003, 7
    • (2003) Earth Interact , pp. 7
    • Hansen, M.C.1    DeFries, R.S.2    Townshend, J.R.G.3    Carroll, M.4    Dimiceli, C.5    Sohlberg, R.A.6
  • 38
    • 0022927215 scopus 로고
    • Characteristics of maximum-value composite images from temporal AVHRR data
    • Holben, B. Characteristics of maximum-value composite images from temporal AVHRR data. Int. J. Remote Sens. 1986, 7, 1417-1434
    • (1986) Int. J. Remote Sens , vol.7 , pp. 1417-1434
    • Holben, B.1
  • 39
    • 0031181965 scopus 로고    scopus 로고
    • Investigation of the maximum normalized difference vegetation index (NDVI) and the maximum surface temperature (Ts) AVHRR compositing procedures for the extraction of NDVI and Ts over forest
    • Roy, D.P. Investigation of the maximum normalized difference vegetation index (NDVI) and the maximum surface temperature (Ts) AVHRR compositing procedures for the extraction of NDVI and Ts over forest. Int. J. Remote Sens. 1997, 18, 2383-2401
    • (1997) Int. J. Remote Sens , vol.18 , pp. 2383-2401
    • Roy, D.P.1
  • 41
    • 84924028140 scopus 로고    scopus 로고
    • An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites
    • Hermosilla, T.; Wulder, M.A.; White, J.C.; Coops, N.C.; Hobart, G.W. An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sens. Environ. 2015, 158, 220-234
    • (2015) Remote Sens. Environ , vol.158 , pp. 220-234
    • Hermosilla, T.1    Wulder, M.A.2    White, J.C.3    Coops, N.C.4    Hobart, G.W.5
  • 42
    • 84941309161 scopus 로고    scopus 로고
    • Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products
    • Claverie, M.; Vermote, E.F.; Franch, B.; Masek, J.G. Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products. Remote Sens. Environ. 2015, 169, 390-403
    • (2015) Remote Sens. Environ , vol.169 , pp. 390-403
    • Claverie, M.1    Vermote, E.F.2    Franch, B.3    Masek, J.G.4
  • 43
    • 32244439173 scopus 로고    scopus 로고
    • Across-path DN gradient in Landsat TM imagery of Amazonian forests: A challenge for image interpretation and mosaicking
    • Toivonen, T.; Kalliola, R.; Ruokolainen, K.; Malik, R.N. Across-path DN gradient in Landsat TM imagery of Amazonian forests: A challenge for image interpretation and mosaicking. Remote Sens. Environ. 2006, 100, 550-562
    • (2006) Remote Sens. Environ , vol.100 , pp. 550-562
    • Toivonen, T.1    Kalliola, R.2    Ruokolainen, K.3    Malik, R.N.4
  • 44
    • 79952904839 scopus 로고    scopus 로고
    • Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia
    • Broich, M.; Hansen, M.C.; Potapov, P.; Adusei, B.; Lindquist, E.; Stehman, S.V. Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia. Int. J. Appl. Earth Obs. Geoinf. 2011, 13, 277-291
    • (2011) Int. J. Appl. Earth Obs. Geoinf , vol.13 , pp. 277-291
    • Broich, M.1    Hansen, M.C.2    Potapov, P.3    Adusei, B.4    Lindquist, E.5    Stehman, S.V.6
  • 46
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. Bagging predictors. Mach. Learn. 1996, 24, 123-140
    • (1996) Mach. Learn , vol.24 , pp. 123-140
    • Breiman, L.1
  • 47
    • 84871897057 scopus 로고    scopus 로고
    • The global availability of Landsat 5 TM and Landsat 7 ETM+ land surface observations and implications for global 30 m Landsat data product generation
    • Kovalskyy, V.; Roy, D.P. The global availability of Landsat 5 TM and Landsat 7 ETM+ land surface observations and implications for global 30 m Landsat data product generation. Remote Sens. Environ. 2013, 130, 280-293
    • (2013) Remote Sens. Environ , vol.130 , pp. 280-293
    • Kovalskyy, V.1    Roy, D.P.2
  • 50
    • 85019554371 scopus 로고    scopus 로고
    • Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification
    • Zhang, H.K.; Roy, D.P. Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification. Remote Sens. Environ. 2017, 197, 15-34
    • (2017) Remote Sens. Environ , vol.197 , pp. 15-34
    • Zhang, H.K.1    Roy, D.P.2
  • 52
    • 4544272407 scopus 로고    scopus 로고
    • Toward intelligent training of supervised image classifications: Directing training data acquisition for SVM classification
    • Foody, G.M.; Mathur, A. Toward intelligent training of supervised image classifications: Directing training data acquisition for SVM classification. Remote Sens. Environ. 2004, 93, 107-117
    • (2004) Remote Sens. Environ , vol.93 , pp. 107-117
    • Foody, G.M.1    Mathur, A.2
  • 53
    • 0019624035 scopus 로고
    • Influence of the background contribution upon space measurements of ground reflectance
    • Tanre, D.; Herman, M.; Deschamps, P.Y. Influence of the background contribution upon space measurements of ground reflectance. Appl. Opt. 1981, 20, 3676-3684
    • (1981) Appl. Opt , vol.20 , pp. 3676-3684
    • Tanre, D.1    Herman, M.2    Deschamps, P.Y.3
  • 54
    • 59749092024 scopus 로고    scopus 로고
    • Atmospheric correction for the monitoring of land surfaces
    • Vermote, E.F.; Kotchenova, S. Atmospheric correction for the monitoring of land surfaces. J. Geophys. Res. 2008, 113
    • (2008) J. Geophys. Res , pp. 113
    • Vermote, E.F.1    Kotchenova, S.2
  • 55
    • 44149102637 scopus 로고    scopus 로고
    • Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data
    • Roy, D.P.; Ju, J.; Lewis, P.; Schaaf, C.; Gao, F.; Hansen, M.; Lindquist, E. Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data. Remote Sens. Environ. 2008, 112, 3112-3130
    • (2008) Remote Sens. Environ , vol.112 , pp. 3112-3130
    • Roy, D.P.1    Ju, J.2    Lewis, P.3    Schaaf, C.4    Gao, F.5    Hansen, M.6    Lindquist, E.7
  • 57
    • 85016320883 scopus 로고    scopus 로고
    • Impacts of dust aerosol and adjacency effects on the accuracy of Landsat 8 and RapidEye surface reflectances
    • Houborg, R.; McCabe, M.F. Impacts of dust aerosol and adjacency effects on the accuracy of Landsat 8 and RapidEye surface reflectances. Remote Sens. Environ. 2017, 194, 127-145
    • (2017) Remote Sens. Environ , vol.194 , pp. 127-145
    • Houborg, R.1    McCabe, M.F.2
  • 59
    • 0036613259 scopus 로고    scopus 로고
    • Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy
    • Gao, F.; Jin, Y.; Schaaf, C.B.; Strahler, A.H. Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy. IEEE Trans. Geosci. Remote Sens. 2002, 40, 1269-1278
    • (2002) IEEE Trans. Geosci. Remote Sens , vol.40 , pp. 1269-1278
    • Gao, F.1    Jin, Y.2    Schaaf, C.B.3    Strahler, A.H.4
  • 60
    • 85010822261 scopus 로고    scopus 로고
    • Mapping per-pixel predicted accuracy of classified remote sensing images
    • Khatami, R.; Mountrakis, G.; Stehman, S.V. Mapping per-pixel predicted accuracy of classified remote sensing images. Remote Sens. Environ. 2017, 191, 156-167
    • (2017) Remote Sens. Environ , vol.191 , pp. 156-167
    • Khatami, R.1    Mountrakis, G.2    Stehman, S.V.3
  • 61
    • 85030761801 scopus 로고    scopus 로고
    • Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites
    • Heydari, S.S.; Mountrakis, G. Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites. Remote Sens. Environ. 2018, 204, 648-658
    • (2018) Remote Sens. Environ , vol.204 , pp. 648-658
    • Heydari, S.S.1    Mountrakis, G.2
  • 62
    • 0036845309 scopus 로고    scopus 로고
    • Development of a MODIS percent tree cover validation data set for Western Province, Zambia
    • Hansen, M.C.; DeFries, R.S.; Townshend, J.R.G.; Marufu, L.; Sohlberg, R. Development of a MODIS percent tree cover validation data set for Western Province, Zambia. Remote Sens. Environ. 2002, 83, 320-335
    • (2002) Remote Sens. Environ , vol.83 , pp. 320-335
    • Hansen, M.C.1    DeFries, R.S.2    Townshend, J.R.G.3    Marufu, L.4    Sohlberg, R.5
  • 63
    • 84882659985 scopus 로고    scopus 로고
    • Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error
    • Sexton, J.O.; Song, X.P.; Feng, M.; Noojipady, P.; Anand, A.; Huang, C.; Kim, D.H.; Collins, K.M.; Channan, S.; DiMiceli, C.; et al. Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error. Int. J. Digit. Earth 2013, 6, 427-448
    • (2013) Int. J. Digit. Earth , vol.6 , pp. 427-448
    • Sexton, J.O.1    Song, X.P.2    Feng, M.3    Noojipady, P.4    Anand, A.5    Huang, C.6    Kim, D.H.7    Collins, K.M.8    Channan, S.9    DiMiceli, C.10
  • 65
    • 0034028569 scopus 로고    scopus 로고
    • Red-Shifts and Red Herrings in Geographical Ecology
    • Lennon, J.J. Red-Shifts and Red Herrings in Geographical Ecology. Ecography 2000, 23, 101-113
    • (2000) Ecography , vol.23 , pp. 101-113
    • Lennon, J.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.