MODIS-based spatiotemporal patterns of soil moisture and evapotranspiration interactions in Tampa Bay urban watershed

被引:0
|
作者
Chang, Ni-Bin [1 ]
Xuan, Zhemin [1 ]
Wimberly, Brent [1 ]
机构
[1] Univ Cent Florida, Civil Environm & Construct Engn Dept, Orlando, FL 32816 USA
关键词
ecohydrology; remote sensing; climate change; coastal watershed; urban sustainability;
D O I
10.1117/12.891870
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Soil moisture and evapotranspiration (ET) is affected by both water and energy balances in the soil-vegetation-atmosphere system, it involves many complex processes in the nexus of water and thermal cycles at the surface of the Earth. These impacts may affect the recharge of the upper Floridian aquifer. The advent of urban hydrology and remote sensing technologies opens new and innovative means to undertake event-based assessment of ecohydrological effects in urban regions. For assessing these landfalls, the multispectral Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing images can be used for the estimation of such soil moisture change in connection with two other MODIS products - Enhanced Vegetation Index (EVI), Land Surface Temperature (LST). Supervised classification for soil moisture retrieval was performed for Tampa Bay area on the 2 kmx2km grid with MODIS images. Machine learning with genetic programming model for soil moisture estimation shows advances in image processing, feature extraction, and change detection of soil moisture. ET data that were derived by Geostationary Operational Environmental Satellite (GOES) data and hydrologic models can be retrieved from the USGS web site directly. Overall, the derived soil moisture in comparison with ET time series changes on a seasonal basis shows that spatial and temporal variations of soil moisture and ET that are confined within a defined region for each type of surfaces, showing clustered patterns and featuring space scatter plot in association with the land use and cover map. These concomitant soil moisture patterns and ET fluctuations vary among patches, plant species, and, especially, location on the urban gradient. Time series plots of LST in association with ET, soil moisture and EVI reveals unique ecohydrological trends. Such ecohydrological assessment can be applied for supporting the urban landscape management in hurricane-stricken regions.
引用
收藏
页数:12
相关论文
共 13 条
  • [1] MODIS-Based Potential Evapotranspiration Demand Curves for the Sacramento Soil Moisture Accounting Model
    Bowman, Angela L.
    Franz, Kristie J.
    Hogue, Terri S.
    Kinoshita, Alicia M.
    [J]. JOURNAL OF HYDROLOGIC ENGINEERING, 2016, 21 (01)
  • [2] Case Studies of a MODIS-Based Potential Evapotranspiration Input to the Sacramento Soil Moisture Accounting Model
    Bowman, Angela L.
    Franz, Kristie J.
    Hogue, Terri S.
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2017, 18 (01) : 151 - 158
  • [3] An Application of Improved MODIS-Based Potential Evapotranspiration Estimates in a Humid Tropic Brantas Watershed-Implications for Agricultural Water Management
    Astuti, Ike Sari
    Wiwoho, Bagus Setiabudi
    Purwanto, Purwanto
    Wagistina, Satti
    Deffinika, Ifan
    Sucahyo, Hetty Rahmawati
    Herlambang, Gilang Aulia
    Alfarizi, Imam Abdul Gani
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (03)
  • [4] MODIS-based remote-sensing monitoring of the spatiotemporal patterns of China's grassland vegetation growth
    Xu, B.
    Yang, X. C.
    Tao, W. G.
    Miao, J. M.
    Yang, Z.
    Liu, H. Q.
    Jin, Y. X.
    Zhu, X. H.
    Qin, Z. H.
    Lv, H. Y.
    Li, J. Y.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (11) : 3867 - 3878
  • [5] Estimation of Surface Soil Moisture in Cornfields Using a Modified MODIS-Based Index and Considering Corn Growth Stages
    Zhang, Dongying
    Meng, Lingkui
    Qu, John J.
    Zhang, Wen
    Wang, Lingli
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (12) : 5618 - 5631
  • [6] Enhanced Estimation of Root Zone Soil Moisture at 1 km Resolution Using SMAR Model and MODIS-Based Downscaled AMSR2 Soil Moisture Data
    Farokhi, Maedeh
    Faridani, Farid
    Lasaponara, Rosa
    Ansari, Hossein
    Faridhosseini, Alireza
    [J]. SENSORS, 2021, 21 (15)
  • [7] Satellite detection of soil moisture related water stress impacts on ecosystem productivity using the MODIS-based photochemical reflectance index
    He, Mingzhu
    Kimball, John S.
    Running, Steven
    Ballantyne, Ashley
    Guan, Kaiyu
    Huemmrich, Fred
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 186 : 173 - 183
  • [8] The spatiotemporal patterns of surface soil moisture in Northeast China based on remote sensing products
    Zheng, Xingming
    Zhao, Kai
    Ding, Yanling
    Jiang, Tao
    Zhang, Shiyi
    Jin, Mengjie
    [J]. JOURNAL OF WATER AND CLIMATE CHANGE, 2016, 7 (04) : 708 - 720
  • [9] Soil moisture assimilation in urban watersheds: A method to identify the limiting imperviousness threshold based on watershed characteristics
    Leach, James M.
    Coulibaly, Paulin
    [J]. JOURNAL OF HYDROLOGY, 2020, 587
  • [10] Spatiotemporal patterns of agricultural and meteorological droughts using SPI and MODIS-based estimates over a Brazilian semiarid region: study case of Upper Paraiba River basin
    de Oliveira, Nadja Melo
    da Silva, Richarde Marques
    Brasil Neto, Reginaldo Moura
    Guimaraes Santos, Celso Augusto
    Guedes Vianna, Pedro Costa
    [J]. GEOCARTO INTERNATIONAL, 2022, 37 (26) : 11590 - 11613