Elements for developing an operational hidrology using remote sensing: soil-vegetation mixture

被引:0
作者
Paz-Pellat, Fernando [1 ]
Isabel Marin-Sosa, Ma [1 ]
Lopez-Bautista, Eliezer [1 ]
Zarco-Hidalgo, Alfonso [1 ]
Bolanos-Gonzalez, Martin A. [1 ]
Luis Oropeza-Mota, Jose [1 ]
Martinez-Menes, Mario [1 ]
Palacios-Velez, Enrique [1 ]
Rubinos-Panta, Enrique [1 ]
机构
[1] Colegio Postgrad, Montecillo 56230, Estado Mexico, Mexico
来源
INGENIERIA HIDRAULICA EN MEXICO | 2009年 / 24卷 / 02期
关键词
precipitation-runoff relationship; remote sensing; soil-vegetation mixture; energy and water balances; CROP COEFFICIENTS; EVAPORATION; ALGORITHM; MODEL; LEAF;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The hydrological response of the soil-vegetation system depends on the properties and covers of its components, particularly in the precipitation-runoff relationship. The use of remote sensing in hydrological applications is reviewed, concluding that the indirect modeling approaches used are complex and have multicolinearity problems. In the spectral dynamics associated with vegetation growth in the red and infrared spaces, the attractors or infinite reflectance points let us to propose an equivalence of reflectances with hydraulic properties of the soil-vegetation system using the concept of equivalent moisture. This kind of modeling is generalizable for any spectral space between two bands. Finally, using energy and water balances in a basin or plot of land the theoretical foundations are established for the use of remote sensing in the modeling of the precipitation-runoff relationship.
引用
收藏
页码:69 / 80
页数:12
相关论文
共 50 条
  • [21] Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance
    Khadim, Fahad Khan
    Su, Hongbo
    Xu, Lina
    Tian, Jing
    PHYSICS AND CHEMISTRY OF THE EARTH, 2019, 110 : 31 - 50
  • [22] Analysis of Spectral Vegetation Signal Characteristics as a Function of Soil Moisture Conditions Using Hyperspectral Remote Sensing
    Brosinsky, A.
    Lausch, A.
    Doktor, D.
    Salbach, C.
    Merbach, I.
    Gwillym-Margianto, S.
    Pause, M.
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2014, 42 (02) : 311 - 324
  • [23] Developing a Model for the Relationship Between Vegetation and Wind Power Using Remote Sensing and Geographic Information Systems Technology
    Cetin, Mehmet
    Aksoy, Talha
    Ozturk, Gulsah Bilge
    Cabuk, Alper
    WATER AIR AND SOIL POLLUTION, 2022, 233 (11)
  • [24] Vegetation monitoring using diferent scale of remote sensing data
    Junko Kunitomo
    Journal of Environmental Sciences , 1999, (02) : 89 - 93
  • [25] Developing a Model for the Relationship Between Vegetation and Wind Power Using Remote Sensing and Geographic Information Systems Technology
    Mehmet Cetin
    Talha Aksoy
    Gulsah Bilge Ozturk
    Alper Cabuk
    Water, Air, & Soil Pollution, 2022, 233
  • [26] Estimation of Actual Evapotranspiration Using Soil Moisture Balance and Remote Sensing
    Huang, Dewu
    Wang, Jianying
    Khayatnezhad, Majid
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2021, 45 (04) : 2779 - 2786
  • [27] Assessment of climate impact on vegetation dynamics by using remote sensing
    Roerink, GJ
    Menenti, M
    Soepboer, W
    Su, Z
    PHYSICS AND CHEMISTRY OF THE EARTH, 2003, 28 (1-3) : 103 - 109
  • [28] Challenges of using remote sensing and GIS in developing nations
    Jha, Madan K.
    Chowdary, V. M.
    HYDROGEOLOGY JOURNAL, 2007, 15 (01) : 197 - 200
  • [29] Challenges of using remote sensing and GIS in developing nations
    Madan K. Jha
    V. M. Chowdary
    Hydrogeology Journal, 2007, 15 : 197 - 200
  • [30] Estimating and Mapping Soil Salinity in Multiple Vegetation Cover Periods by Using Unmanned Aerial Vehicle Remote Sensing
    Cui, Xin
    Han, Wenting
    Dong, Yuxin
    Zhai, Xuedong
    Ma, Weitong
    Zhang, Liyuan
    Huang, Shenjin
    REMOTE SENSING, 2023, 15 (18)