|
|
|
Monitoring Perennial Sub-Surface Waterlogged Croplands Based on MODIS in Jianghan Plain, Middle Reaches of the Yangtze River |
XIAO Fei, LI Yuan-zheng, DU Yun, LING Feng, YAN Yi, FENG Qi , BAN Xuan |
Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, P.R.China |
|
|
摘要 Perennial waterlogged soil (PWS) is induced by the high level of groundwater, and has a persistent impact on natural ecosystems and agricultural production. Traditionally, distribution information regarding PWS is mainly collected from in situ measurements through groundwater level surveys and physicochemical property analyses. However, in situ measurements of PWS are costly and time-consuming, only rough estimates of PWS areas are available in some regions. In this paper, we developed a method to monitor the perennial waterlogged cropland using time-series moderate resolution imaging spectroradiometer (MODIS) data. The Jianghan Plain, a floodplain located in the middle reaches of the Yangtze River, was selected as the study area. Temporal variations of the enhanced vegetation index (EVI), night land surface temperature (LST), diurnal LST differences (ΔLST), albedo, and the apparent thermal inertia (ATI) were used to analyze the ecological and thermodynamic characteristics of the waterlogged croplands. To obtain pure remote sensing signatures of the waterlogged cropland from mixed pixels, the croplands were classified into different types according to soil and land cover types in this paper, and a linear mixing model was developed by fitting the signatures using the multiple linear regression approach. Afterwards, another linear spectral mixing model was used to get the proportions of waterlogged croplands in each 1 km×1 km pixel. The result showed an acceptable accuracy with a root-mean-square error of 0.093. As a tentative method, the procedure described in this paper works efficiently as a method to monitor the spatial patterns of perennial sub-surface waterlogged croplands at a wide scale.
Abstract Perennial waterlogged soil (PWS) is induced by the high level of groundwater, and has a persistent impact on natural ecosystems and agricultural production. Traditionally, distribution information regarding PWS is mainly collected from in situ measurements through groundwater level surveys and physicochemical property analyses. However, in situ measurements of PWS are costly and time-consuming, only rough estimates of PWS areas are available in some regions. In this paper, we developed a method to monitor the perennial waterlogged cropland using time-series moderate resolution imaging spectroradiometer (MODIS) data. The Jianghan Plain, a floodplain located in the middle reaches of the Yangtze River, was selected as the study area. Temporal variations of the enhanced vegetation index (EVI), night land surface temperature (LST), diurnal LST differences (ΔLST), albedo, and the apparent thermal inertia (ATI) were used to analyze the ecological and thermodynamic characteristics of the waterlogged croplands. To obtain pure remote sensing signatures of the waterlogged cropland from mixed pixels, the croplands were classified into different types according to soil and land cover types in this paper, and a linear mixing model was developed by fitting the signatures using the multiple linear regression approach. Afterwards, another linear spectral mixing model was used to get the proportions of waterlogged croplands in each 1 km×1 km pixel. The result showed an acceptable accuracy with a root-mean-square error of 0.093. As a tentative method, the procedure described in this paper works efficiently as a method to monitor the spatial patterns of perennial sub-surface waterlogged croplands at a wide scale.
|
Received: 01 March 2013
Accepted:
|
Fund: The work was supported by the National Basic Research Program of China (2012CB417001) and the National Natural Science Foundation of China (41271125). |
Corresponding Authors:
XIAO Fei, Tel: +86-27-68881901, E-mail: xiaof@whigg.ac.cn
E-mail: xiaof@whigg.ac.cn
|
Cite this article:
XIAO Fei, LI Yuan-zheng, DU Yun, LING Feng, YAN Yi, FENG Qi , BAN Xuan.
2014.
Monitoring Perennial Sub-Surface Waterlogged Croplands Based on MODIS in Jianghan Plain, Middle Reaches of the Yangtze River. Journal of Integrative Agriculture, 13(8): 1791-1801.
|
Bastawesy M E, Ali R R. 2013. The use of GIS and remotesensing for the assessment of waterlogging in the drylandirrigated catchments of Farafra Oasis, Egypt. HydrologicalProcesses, 27, 206-216Blavet D, Mathe E, Leprun J C. 2000. Relations betweensoil colour and waterlogging duration in a representativehillside of the West African granite-gneissic bedrock.Catena, 39, 187-210Cai S, Wang X, Huang J. 1996. Exploitation and the Development of Agriculture in Sihu Basin, Jianghan Plain.Science Press, Beijing, China. (in Chinese)Cárdenas J L S, Wang L. 2010. Fully constrained linear spectral unmixing: analytic solution using fuzzy sets.IEEE Transactions on Geoscience and Remote Sensing,48, 3992-4002Choubey V K. 1997. Detection and delineation of waterlogging by remote sensing techniques. Journal of the Indian Societyof Remote Sensing, 25, 123-135Chowdary V M, Chandran R V, Neeti N, Bothale R V,Srivastava Y K, Ingle P, Ramakrishnan D, Dutta D,Jeyaram A, Sharma J R, Singh R. 2008. Assessment ofsurface and sub-surface waterlogged areas in irrigationcommand areas of Bihar state using remote sensing andGIS. Agricultural Water Management, 95, 754-766Claps P, Laguardia G. 2004. Assessing spatial variability ofsoil water content through thermal inertia and NDVI. In:Manfred O, Guido D, eds., Remote Sensing for Agriculture,Ecosystems, and Hydrology. SPIE, Bellingham. pp. 378-387Cox J W, McFarlane D J. 1995. The causes of waterlogging inshallow soils and their drainage in southwestern Australia.Journal of Hydrology, 167, 175-194Dat J, Capelli N, Folzer H, Bourgeade P, Badot P M. 2004.Sensing and signaling during plant flooding. PlantPhysiology and Biochemistry, 42, 273-282Datta K K, Jong C. 2002. Adverse effect of waterlogging andsoil salinity on crop and land productivity in northwestregion of Haryana, India. Agricultural Water Management,57, 223-238Defries R S, Hansen M C, Townshend J R G 2000. Globalcontinuous fields of vegetation characteristics: A linear mixture model applied to multi-year 8 km AVHRR data.International Journal of Remote Sensing, 21, 1389-1414Doninck J V, Peters J, Baets B D, Clercq E M D, DucheyneE, Verhoest N E C. 2011. The potential of multitemporalAqua and Terra MODIS apparent thermal inertia as a soilmoisture indicator. International Journal of Applied EarthObservation and Geoinformation, 13, 934-941Dwivedi R S, Ramana K V, Sreenivas K. 2007. Temporal behavior of surface waterlogged areas using spacebornemultispectral multitemporal measurements. Journal of the Indian Society of Remote Sensing, 35, 173-184Fan W. 1997. Wetland Agriculture and the Ecological Economyin Jianghan Plain. Hubei Science and Technology Press,Wuhan. (in Chinese)Garcia-Haro F J, Gilabert M A, Melia J. 1996. Linear spectralmixture modelling to estimate vegetation amount fromoptical spectral data. International Journal of Remote Sensing, 17, 3373-3400Heinz D C, Chang C I. 2001. Fully constrained least squareslinear spectral mixture analysis method for materialquantification in hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 39, 529-545Li B, Liu B, Li Z. 2003. Differences of waterlogged regionsin Jianghan Plain and the development strategy for thedistricts. Resources and Environment in the Yangtze Basin,12, 285-288 (in Chinese)Liu Z, Liu B, Li B. 2003. Forming reason, succession andvariation regularity of waterlogging land in JianghanPlain. Research of Agricultural Modernization, 24, 24-28 (in Chinese)Mandal A K, Sharma R C. 2011. Delineation and characterizationof waterlogged salt affected soils in IGNP using remotesensing and GIS. Journal of the Indian Society of SoilScience, 39, 39-50McFarlane D J, Williamson D R. 2002. An overview of waterlogging and salinity in southwestern Australia as related tothe “Ucarro” experimental catchment. Agricultural WaterManagement, 53, 5-29Minacapilli M, Iovino M, Blanda F. 2009. High resolutionremote estimation of soil surface water content by a thermalinertia approach. Journal of Hydrology, 379, 229-238Pandey A C, Singh S K, Nathawat M S, Saha D. 2013.Assessment of surface and subsurface waterlogging, waterlevel fluctuations, and lithological variations for evaluatinggroundwater resources in Ganga Plains. InternationalJournal of Digital Earth, 6, 276-296Pandey A C, Singh S K, Nathawat M S. 2010. Waterloggingand flood hazards vulnerability and risk assessment in IndoGangetic plain. Natural Hazards, 55, 273-289Parent C, Capelli N, Berger A, Crevecoeur M, Dat J F. 2008.An overview of plant responses to soil waterlogging. Plant Stress, 2, 20-27Pezeshki S R. 2001. Wetland plant responses to soil flooding.Environmental and Experimental Botany, 46, 299-312Schmugge T. 1998. Applications of passive microwaveobservations of surface soil moisture. Journal of Hydrology, 212, 188-197Scott C A, Bastiaanssen W G M, Ahmad M. 2003. Mappingroot zone soil moisture using remotely sensed optical imagery. Journal of Irrigation and Drainage Engineering,129, 326-335Singh A. 2012. Development and application of a watertablemodel for the assessment of waterlogging in irrigated semiaridregions. Water Resources Management, 26, 4435-4448Wan Z, Zhang Y, Zhang Q, Li Z L. 2004. Quality assessmentand validation of the MODIS global land surface temperature. International Journal of Remote Sensing,25, 261-274Xiang W, Li W, Tong C. 2000. Current status of waterloggingand soil gleyization of farmland in Jianghan Plain andthe strategy for its management. Soil and EnvironmentalSciences, 9, 214-217 (in Chinese)Yu G. 1992. Mechanism of waterlogging damage in JianghanPlain. Geographical Research, 12, 37-44 (in Chinese)Yu G. 1993. Study on the ecological characteristics ofwaterlogging field in Jianghan Plain. Acta EcologicaSinica, 13, 252-260. (in Chinese) |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|