Mapping locust habitats in the Amudarya River Delta, Uzbekistan with multi-temporal MODIS imagery

被引:24
|
作者
Sivanpillai, Ramesh [1 ]
Latchininsky, Alexandre V.
机构
[1] Univ Wyoming, Wyoming Geog Informat Sci Ctr, Laramie, WY 82071 USA
[2] Univ Wyoming, Dept Renewable Resources Entomol, Laramie, WY 82071 USA
关键词
Aral Sea; Locusta migratoria migratoria; phenology; Phragmites australis; reeds; remote sensing;
D O I
10.1007/s00267-006-0193-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reed beds of Phragmites australis in the River Amudarya delta near the Aral Sea constitute permanent breeding areas of the Asian Migratory locust, Locusta migratoria migratoria. Every year, thousands of hectares are treated with broad-spectrum insecticides to prevent locust swarms from damaging crops in adjacent areas. To devise efficient locust monitoring and management plans, accurate and updated information about the spatial distribution of reeds is necessary. Given the vast geographic extent of the delta, traditional, ground survey methods are inadequate. Remotely sensed data collected by the MODIS sensor aboard the TERRA satellite provide a useful tool to characterize the spatial distribution of reeds. Multi-temporal MODIS data, collected at different times of the growing season, were used to generate spectral-temporal signatures for reeds and other land cover classes. These spectral-temporal signatures were matched with reed phenology. MODIS information was digitally classified to generate a land cover map with an overall accuracy of 74%. MODIS data captured 87% of the ground-verified reed locations. Estimates derived from MODIS data indicate that 18% of the study area was covered by reeds. However, high commission error resulted from misclassification of reeds mixed with shrubs class and shrubs class as reeds. This could have resulted in overprediction of the area covered by reeds. Additional research is needed to minimize the overlap between reeds and other vegetation classes (shrubs, and reed and shrub mix). Nevertheless, despite its relatively low spatial resolution (250 m), multi-temporal MODIS data were able to adequately capture the distribution of reeds. Instead of blanketing the fragile wetland ecosystem of the Amudarya delta with chemical anti-locust treatments, plant protection specialists can use this information to devise ecologically sound pest management plans aimed at reducing the adverse environmental impact in the zone of the Aral Sea ecological catastrophe. MODIS methodology to identify reed stands can be applicable to the Migratory locust habitats in other geographic areas.
引用
收藏
页码:876 / 886
页数:11
相关论文
共 50 条
  • [1] Mapping Locust Habitats in the Amudarya River Delta, Uzbekistan with Multi-Temporal MODIS Imagery
    Ramesh Sivanpillai
    Alexandre V. Latchininsky
    Environmental Management, 2007, 39 : 876 - 886
  • [2] Mapping locust habitats in River Ili Delta, Kazakhstan, using Landsat imagery
    Sivanpillai, Ramesh
    Latchininsky, Alexandre V.
    Driese, Kenneth L.
    Kambulin, Vladimir E.
    AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2006, 117 (2-3) : 128 - 134
  • [3] Variation of groundwater salinity in the partially irrigated Amudarya River delta, Uzbekistan
    Johansson, Olov
    Aimbetov, Izzet
    Jarsjo, Jerker
    JOURNAL OF MARINE SYSTEMS, 2009, 76 (03) : 287 - 295
  • [4] Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan using time series of satellite remote sensing vegetation index
    Loew, Fabian
    Waldner, Francois
    Latchininsky, Alexandre
    Biradar, Chandrashekhar
    Bolkart, Maximilian
    Colditz, Rene R.
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2016, 183 : 562 - 575
  • [5] Mapping abandoned agriculture with multi-temporal MODIS satellite data
    Alcantara, Camilo
    Kuemmerle, Tobias
    Prishchepov, Alexander V.
    Radeloff, Volker C.
    REMOTE SENSING OF ENVIRONMENT, 2012, 124 : 334 - 347
  • [6] Mapping turbidity patterns in the Po river prodelta using multi-temporal Landsat 8 imagery
    Braga, Federica
    Zaggia, Luca
    Bellafiore, Debora
    Bresciani, Mariano
    Giardino, Claudia
    Lorenzetti, Giuliano
    Maicu, Francesco
    Manzo, Ciro
    Riminucci, Francesco
    Ravaioli, Mariangela
    Brand, Vittorio Ernesto
    ESTUARINE COASTAL AND SHELF SCIENCE, 2017, 198 : 555 - 567
  • [7] Rice crop mapping using multi-temporal MODIS imagery in the northern part of west java province, Indonesia
    Stevanus, Indra
    Chen, C.F.
    Son, N.T.
    34th Asian Conference on Remote Sensing 2013, ACRS 2013, 2013, 3 : 1963 - 1970
  • [8] An approach for land cover mapping with multi-temporal MERIS imagery
    Capao, Luis
    Carrao, Hugo
    Araujo, Antnio
    Caetano, Mario
    Carrao, Hugo
    Caetano, Mario
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3836 - +
  • [9] Application of multi-temporal ENVISAT ASAR data to agricultural area mapping in the Pearl River Delta
    Wang, Dan
    Lin, Hui
    Chen, Jinsong
    Zhang, Yuanzhi
    Zeng, Qiwei
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (06) : 1555 - 1572
  • [10] Mapping Impervious Cover Using Multi-Temporal MODIS NDVI Data
    Knight, Joseph
    Voth, Margaret
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2011, 4 (02) : 303 - 309