Consistency Between NASS Surveyed Soil Moisture Conditions and SMAP Soil Moisture Observations

被引:11
|
作者
Colliander, Andreas [1 ]
Yang, Zhengwei [2 ]
Mueller, Rick [2 ]
Sandborn, Avery [2 ]
Reichle, Rolf [3 ]
Crow, Wade [4 ]
Entekhabi, Dara [5 ]
Yueh, Simon [1 ]
机构
[1] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91125 USA
[2] USDA NASS, Washington, DC USA
[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
[4] USDA ARS, Washington, DC 20250 USA
[5] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA USA
基金
美国国家航空航天局;
关键词
PRODUCT;
D O I
10.1029/2018WR024475
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The U.S. Department of Agriculture National Agricultural Statistics Survey (NASS) collects and publishes crop growth status and soil moisture conditions in major U.S. agricultural regions. The operationally produced weekly reports are based on survey information. The surveys are based on visual assessments and-in the case of soil moisture-report soil moisture levels in one of four categories (Very Short, Short, Adequate, and Surplus). In this study, we show that these reports have remarkable correspondence with the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) Level-4 Soil Moisture (L4SM) product. This consistency allows for combining the two different types of data to produce a value-added assessment, which enables cropland soil moisture mapping and state-level statistics. Moreover, it enables daily assessment rather than weekly. In this study classification thresholds are derived for L4SM by mapping cumulative distribution functions of L4SM surface and root zone SM to the categorical NASS SM conditions. The results show that, year over year, the SMAP cumulative SM distributions are consistent with the NASS SM conditions and, furthermore, that the temporal evolution of the SMAP-derived thresholds is consistent with the seasonal crop growth cycles from year to year. The results signify that the SMAP SM retrievals are relatable to SM estimation conducted in agricultural crop land by land managers and farmers, which underlines the general applicability of the SMAP data.
引用
收藏
页码:7682 / 7693
页数:12
相关论文
共 50 条
  • [41] Evaluation of Multiscale SMAP Soil Moisture Products in Forested Environments
    Andreadis, Konstantinos M.
    Meason, Dean F.
    Hock, Barbara
    Lad, Priscilla
    Das, Narendra
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [42] SMAP SOIL MOISTURE PRODUCT VALIDITY IN HETEROGENEOUS IRRIGATED REGIONS
    Worrall, George
    Judge, Jasmeet
    Barrett, Charles
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4719 - 4722
  • [43] Irrigation Signals Detected From SMAP Soil Moisture Retrievals
    Lawston, Patricia M.
    Santanello, Joseph A., Jr.
    Kumar, Sujay V.
    GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (23) : 11860 - 11867
  • [44] Development and assessment of the SMAP enhanced passive soil moisture product
    Chan, S. K.
    Bindlish, R.
    O'Neill, P.
    Jackson, T.
    Njoku, E.
    Dunbar, S.
    Chaubell, J.
    Piepmeier, J.
    Yueh, S.
    Entekhabi, D.
    Colliander, A.
    Chen, F.
    Cosh, M. H.
    Caldwell, T.
    Walker, J.
    Berg, A.
    McNairn, H.
    Thibeault, M.
    Martinez-Fernandez, J.
    Uldall, F.
    Seyfried, M.
    Bosch, D.
    Starks, P.
    Collins, C. Holifield
    Prueger, J.
    van der Velde, R.
    Asanuma, J.
    Palecki, M.
    Small, E. E.
    Zreda, M.
    Calvet, J.
    Crow, W. T.
    Kerr, Y.
    REMOTE SENSING OF ENVIRONMENT, 2018, 204 : 931 - 941
  • [45] Evaluating Consistency between the Remotely Sensed Soil Moisture and the Hydrological Model-Simulated Soil Moisture in the Qujiang Catchment of China
    Xiong, Lihua
    Yang, Han
    Zeng, Ling
    Xu, Chong-Yu
    WATER, 2018, 10 (03)
  • [46] An Alternate Dual Channel Algorithm for Passive Soil Moisture Retrieval from the Soil Moisture Active Passive (SMAP) Mission
    Chan, Steven
    2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS), 2016, : 2525 - 2525
  • [47] SURFACE SOIL MOISTURE ESTIMATION FROM MODIS APPARENT THERMAL INERTIA: A COMPARISON WITH SMOS AND SMAP SOIL MOISTURE PRODUCTS
    Pablos, M.
    Gonzalez-Zamora, A.
    Sanchez, N.
    Portal, G.
    Vall-llossera, M.
    Martinez-Fernandez, J.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 80 - 83
  • [48] Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics
    Nayak, Aruna Kumar
    Xu, Xiaoyong
    Frey, Steven K.
    Khader, Omar
    Erler, Andre R.
    Lapen, David R.
    Russell, Hazen A. J.
    Sudicky, Edward A.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2025, 29 (01) : 215 - 244
  • [49] Evaluation of reanalysis soil moisture simulations using updated Chinese soil moisture observations
    Li, HB
    Robock, A
    Liu, SX
    Mo, XG
    Viterbo, P
    JOURNAL OF HYDROMETEOROLOGY, 2005, 6 (02) : 180 - 193
  • [50] Drought monitoring with soil moisture active passive (SMAP) measurements
    Mishra, Ashok
    Vu, Tue
    Veettil, Anoop Valiya
    Entekhabi, Dara
    JOURNAL OF HYDROLOGY, 2017, 552 : 620 - 632