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Pregled bibliografske jedinice broj: 1099023

Evaluation of the Performance of the Integration of Remote Sensing and Noah Hydrologic Model for Soil Moisture Estimation in Hetao Irrigation Region of Inner Mongolia


Zhang, Dianjun; Zhan, Jie; Qiao, Zhi; Župan, Robert
Evaluation of the Performance of the Integration of Remote Sensing and Noah Hydrologic Model for Soil Moisture Estimation in Hetao Irrigation Region of Inner Mongolia // Canadian journal of remote sensing, 46 (2020), 5; 552-566 doi:10.1080/07038992.2020.1810003 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1099023 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Evaluation of the Performance of the Integration of Remote Sensing and Noah Hydrologic Model for Soil Moisture Estimation in Hetao Irrigation Region of Inner Mongolia

Autori
Zhang, Dianjun ; Zhan, Jie ; Qiao, Zhi ; Župan, Robert

Izvornik
Canadian journal of remote sensing (0703-8992) 46 (2020), 5; 552-566

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
surface, soil, water, remote sensing

Sažetak
As an important parameter in Land surface system research, surface soil moisture (SSM) links the surface water and groundwater that plays a key role in water resources, agricultural management and global warming studies. Remote sensing techniques provide a direct and convenient means to estimate SSM on a regional scale. In this study, the performance of the normalized land surface temperature-vegetation index (LST-VI) model was evaluated using the in situ soil moisture measurements at Hetao irrigation region of Inner Mongolia that is a representative semi-arid area with relatively uniform underlying surface. The model was used to estimate soil moisture from HJ-1B and Landsat 8 images on clear days in 2014–2017. The overall SSM estimation accuracy was high, and the average RMSE was approximately 0.04 m3/m3. Moreover, a systematic sensitivity analysis was conducted for the input parameters and other impact factors. The results demonstrated that the model could credibly monitor the regional surface soil water content.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija



POVEZANOST RADA


Ustanove:
Geodetski fakultet, Zagreb

Profili:

Avatar Url Robert Župan (autor)

Citiraj ovu publikaciju

Zhang, Dianjun; Zhan, Jie; Qiao, Zhi; Župan, Robert
Evaluation of the Performance of the Integration of Remote Sensing and Noah Hydrologic Model for Soil Moisture Estimation in Hetao Irrigation Region of Inner Mongolia // Canadian journal of remote sensing, 46 (2020), 5; 552-566 doi:10.1080/07038992.2020.1810003 (međunarodna recenzija, članak, znanstveni)
Zhang, D., Zhan, J., Qiao, Z. & Župan, R. (2020) Evaluation of the Performance of the Integration of Remote Sensing and Noah Hydrologic Model for Soil Moisture Estimation in Hetao Irrigation Region of Inner Mongolia. Canadian journal of remote sensing, 46 (5), 552-566 doi:10.1080/07038992.2020.1810003.
@article{article, year = {2020}, pages = {552-566}, DOI = {10.1080/07038992.2020.1810003}, keywords = {surface, soil, water, remote sensing}, journal = {Canadian journal of remote sensing}, doi = {10.1080/07038992.2020.1810003}, volume = {46}, number = {5}, issn = {0703-8992}, title = {Evaluation of the Performance of the Integration of Remote Sensing and Noah Hydrologic Model for Soil Moisture Estimation in Hetao Irrigation Region of Inner Mongolia}, keyword = {surface, soil, water, remote sensing} }
@article{article, year = {2020}, pages = {552-566}, DOI = {10.1080/07038992.2020.1810003}, keywords = {surface, soil, water, remote sensing}, journal = {Canadian journal of remote sensing}, doi = {10.1080/07038992.2020.1810003}, volume = {46}, number = {5}, issn = {0703-8992}, title = {Evaluation of the Performance of the Integration of Remote Sensing and Noah Hydrologic Model for Soil Moisture Estimation in Hetao Irrigation Region of Inner Mongolia}, keyword = {surface, soil, water, remote sensing} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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