MODIS satellite data for estimating actual evapotranspiration in Bulgaria (2000-2014)

被引:1
|
作者
Vasileva, Tanya [1 ]
Nedkov, Roumen [2 ]
Borisova, Denitsa [2 ]
Sholev, Dimitar [3 ]
机构
[1] Bulgarian Acad Sci, Geol Inst, Sofia, Bulgaria
[2] Bulgarian Acad Sci, Space Res & Technol Inst, Sofia, Bulgaria
[3] Bulgarian Acad Sci, Lab Telemat, Sofia, Bulgaria
关键词
remote sensing; MODIS; evapotranspiration; DEM;
D O I
10.1117/12.2325771
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the present paper, the actual evapotranspiration for the territory of Bulgaria on an annual basis for the period 2000-2014 has been modeled, using satellite data MOD16A3. The data was received by means of remote sensing from a MODIS sensor. Raw evapotranspiration (ET) data were integrated and processed in GIS environment in order to obtain the final goal of finding 2D distribution of the qualitative values of the actual evapotranspiration (AET) for the territory of Bulgaria. In order to generate the relevant values for the annual AET in the area, a model was developed using the MOD16A3 evapotranspiration dataset. In the present paper, the actual evapotranspiration was estimated as a function of the land cover and a digital elevation model. The results obtained show the relationship between the actual evapotranspiration, the land cover and a DEM. In the process of research, some trends for the annual quantity of AET were estimated. The model for the quantitative area estimation of the evapotranspiration developed in the study has already been applied to the catchment area of Lefedzha River (located in northern Bulgaria). It was established that the satellite data give a more representative and reliable information on the spatial distribution of the AET on a regional scale. These methods have less human interference in obtaining information about the individual physical parameters on which the process of evaporation depends. In the MOD16 product the temperature of the spreading surface that influences the evaporation processes was recorded.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] ACTUAL EVAPOTRANSPIRATION BY USE OF MODIS DATA
    Matarrese, Raffaella
    Portoghese, Ivan
    Vurro, Michele
    Soldo, Pietro
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 6689 - 6692
  • [2] Estimating Actual Evapotranspiration from Satellite and Meteorological Data in Central Bolivia
    Seiler, Christian
    Moene, Arnold F.
    EARTH INTERACTIONS, 2011, 15 : 1 - 24
  • [3] Snow Extent Variability in Lesotho Derived from MODIS Data (2000-2014)
    Wunderle, Stefan
    Gross, Timm
    Husler, Fabia
    REMOTE SENSING, 2016, 8 (06)
  • [4] Estimating Riparian and Agricultural Actual Evapotranspiration by Reference Evapotranspiration and MODIS Enhanced Vegetation Index
    Nagler, Pamela L.
    Glenn, Edward P.
    Uyen Nguyen
    Scott, Russell L.
    Doody, Tanya
    REMOTE SENSING, 2013, 5 (08) : 3849 - 3871
  • [5] Estimating the Level and Distribution of Global Wealth, 2000-2014
    Davies, James B.
    Lluberas, Rodrigo
    Shorrocks, Anthony F.
    REVIEW OF INCOME AND WEALTH, 2017, 63 (04) : 731 - 759
  • [6] Greenland ice sheet melt area from MODIS (2000-2014)
    Fausto, Robert S.
    van As, Dirk
    Antoft, Jens A.
    Box, Jason E.
    Colgan, William
    GEOLOGICAL SURVEY OF DENMARK AND GREENLAND BULLETIN, 2015, (33): : 57 - 60
  • [7] A MODIS-derived snow climatology (2000-2014) for the Australian Alps
    Thompson, Jeffery A.
    CLIMATE RESEARCH, 2016, 68 (01) : 25 - 38
  • [8] Estimating Large Area Evapotranspiration from MODIS Data
    Zhang, Xiaochun
    Wu, Jingwei
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [9] Exploring evapotranspiration dynamics over Sub-Sahara Africa (2000-2014)
    Ndehedehe, Christopher E.
    Okwuashi, Onuwa
    Ferreira, Vagner G.
    Agutu, Nathan O.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (07)
  • [10] MODIS EVI-based net primary production in the Sahel 2000-2014
    Ardo, Jonas
    Tagesson, Torbern
    Jamali, Sadegh
    Khatir, Abdelrahman
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 65 : 35 - 45