Scene selection and the use of NASA's global orthorectified Landsat dataset for land cover and land use change monitoring

被引:10
|
作者
Tatem, Andrew J.
Nayar, Anjali
Hay, Simon I.
机构
[1] Univ Oxford, Dept Zool, TALA Res Grp, Oxford OX1 3PS, England
[2] Univ Oxford, Ctr Environm, Environm Change Inst, Oxford OX1 3QY, England
[3] Ctr Geog Med, Malaria Publ Hlth & Epidemiol Grp, Nairobi 00100, Kenya
基金
英国惠康基金;
关键词
D O I
10.1080/01431160600589195
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This study examines the utility of NASA's circa 1990 and circa 2000 global orthorectified Landsat dataset for land cover and land use change mapping and monitoring across Africa. This is achieved by comparing the temporal and spatial variation of NDVI, measured independently by the NOAA-AVHRR at the time of Landsat scene acquisition, against the seasonal mean for each Landsat scene extent. Decadal sequences of drift-corrected NOAA-AVHRR imagery were used to calculate NDVI means and standard deviations for the periods covered by the scenes composing the c. 1990 and c. 2000 Landsat datasets. The specific NOAA-AVHRR NDVI values at the acquisition date of each individual Landsat scene were also calculated and the differences, both from the mean and scaled by standard deviation, were mapped for the Landsat scene footprints in the c. 1990 and c. 2000 datasets. The resulting maps show the temporal position of each Landsat scene within the seasonal NDVI cycle, and provide a valuable guide to assist in quantifying uncertainty and interpreting land cover and land use changes inferred from these Landsat data.
引用
收藏
页码:3073 / 3078
页数:6
相关论文
共 50 条
  • [1] The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results
    Potapov, Peter
    Hansen, Matthew C.
    Pickens, Amy
    Hernandez-Serna, Andres
    Tyukavina, Alexandra
    Turubanova, Svetlana
    Zalles, Viviana
    Li, Xinyuan
    Khan, Ahmad
    Stolle, Fred
    Harris, Nancy
    Song, Xiao-Peng
    Baggett, Antoine
    Kommareddy, Indrani
    Kommareddy, Anil
    [J]. FRONTIERS IN REMOTE SENSING, 2022, 3
  • [2] Observing and monitoring land use and land cover change
    Loveland, TR
    DeFries, RS
    [J]. ECOSYSTEMS AND LAND USE CHANGE, 2004, 153 : 231 - 246
  • [3] A global dataset of crowdsourced land cover and land use reference data
    Fritz, Steffen
    See, Linda
    Perger, Christoph
    McCallum, Ian
    Schill, Christian
    Schepaschenko, Dmitry
    Duerauer, Martina
    Karner, Mathias
    Dresel, Christopher
    Laso-Bayas, Juan-Carlos
    Lesiv, Myroslava
    Moorthy, Inian
    Salk, Carl F.
    Danylo, Olha
    Sturn, Tobias
    Albrecht, Franziska
    You, Liangzhi
    Kraxner, Florian
    Obersteiner, Michael
    [J]. SCIENTIFIC DATA, 2017, 4
  • [4] A global dataset of crowdsourced land cover and land use reference data
    Steffen Fritz
    Linda See
    Christoph Perger
    Ian McCallum
    Christian Schill
    Dmitry Schepaschenko
    Martina Duerauer
    Mathias Karner
    Christopher Dresel
    Juan-Carlos Laso-Bayas
    Myroslava Lesiv
    Inian Moorthy
    Carl F. Salk
    Olha Danylo
    Tobias Sturn
    Franziska Albrecht
    Liangzhi You
    Florian Kraxner
    Michael Obersteiner
    [J]. Scientific Data, 4
  • [5] NASA Land Cover and Land Use Change (LCLUC): An interdisciplinary research program
    Justice, Chris
    Gutman, Garik
    Vadrevu, Krishna Prasad
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2015, 148 : 4 - 9
  • [6] A new time series change detection method for Landsat land use and land cover change
    Lin, Yukun
    Zhang, Lifu
    Wang, Nan
    [J]. 2019 10TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP), 2019,
  • [7] Selection of Landsat 8 OLI Band Combinations for Land Use and Land Cover Classification
    Yu, Zhiqi
    Di, Liping
    Yang, Ruixing
    Tang, Junmei
    Lin, Li
    Zhang, Chen
    Rahman, Md. Shahinoor
    Zhao, Haoteng
    Gaigalas, Juozas
    Yu, Eugene Genong
    Sun, Ziheng
    [J]. 2019 8TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2019,
  • [8] Selection of classification techniques for land use/land cover change investigation
    Srivastava, Prashant K.
    Han, Dawei
    Rico-Ramirez, Miguel A.
    Bray, Michaela
    Islam, Tanvir
    [J]. ADVANCES IN SPACE RESEARCH, 2012, 50 (09) : 1250 - 1265
  • [9] Monitoring coastal land reclamation and land use change around Hangzhou Bay using Landsat dataset (1970s-2014)
    Gan, Muye
    Huang, Lingyan
    You, Shucheng
    Hua, Yiming
    Pan, Yi
    Deng, Jinsong
    Wang, Ke
    [J]. LAND SURFACE REMOTE SENSING II, 2014, 9260
  • [10] Linking Land Use Land Cover change to global groundwater storage
    Dasgupta, Bibhasvata
    Sanyal, Prasanta
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 853