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Estimating surface solar radiation over complex terrain using moderate-resolution satellite sensor data

Estimating surface solar radiation over complex terrain using moderate-resolution satellite sensor data
Estimating surface solar radiation over complex terrain using moderate-resolution satellite sensor data
It is well known that taking into account the influence of complex terrain is essential when using high-resolution satellite remotely sensed data to estimate surface net solar radiation. This paper investigates whether this is also the case when using moderate-resolution satellite remotely sensed data, such as Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High Resolution Radiometer (AVHRR). Firstly, topographic data from a gridded digital elevation model, field measurements from the Tibetan Plateau, and results from the atmospheric 6S model are used to estimate surface incoming solar radiation over complex terrain. The associated error caused by not taking into account terrain complexity is then calculated, and the relative radiation error is estimated by standardizing the error. The results show that the standard deviation of the relative radiation error depends on the solar zenith angle, standard deviation of the height, and resolution of the digital elevation model (or resolution of the satellite sensor data). A single regression equation describes the change in the standard deviation of the relative radiation error with solar zenith angle, standard deviation of height, and resolution of the digital elevation model. This demonstrates that it is necessary to consider terrain complexity when using moderate-resolution remotely sensed data.
0143-1161
47-58
Wang, K-C.
652bd5cc-9406-4b59-9fde-6d314c8630b2
Zhou, X-J.
2a707d83-95cc-42fa-a876-cb2a3c017de0
Liu, J-M.
67f07fd3-eb22-4c2f-937c-83f8dfed885f
Sparrow, M.
0a312725-a227-4199-8852-baf7a0869768
Wang, K-C.
652bd5cc-9406-4b59-9fde-6d314c8630b2
Zhou, X-J.
2a707d83-95cc-42fa-a876-cb2a3c017de0
Liu, J-M.
67f07fd3-eb22-4c2f-937c-83f8dfed885f
Sparrow, M.
0a312725-a227-4199-8852-baf7a0869768

Wang, K-C., Zhou, X-J., Liu, J-M. and Sparrow, M. (2005) Estimating surface solar radiation over complex terrain using moderate-resolution satellite sensor data. International Journal of Remote Sensing, 26 (1), 47-58. (doi:10.1080/01431160410001735111).

Record type: Article

Abstract

It is well known that taking into account the influence of complex terrain is essential when using high-resolution satellite remotely sensed data to estimate surface net solar radiation. This paper investigates whether this is also the case when using moderate-resolution satellite remotely sensed data, such as Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High Resolution Radiometer (AVHRR). Firstly, topographic data from a gridded digital elevation model, field measurements from the Tibetan Plateau, and results from the atmospheric 6S model are used to estimate surface incoming solar radiation over complex terrain. The associated error caused by not taking into account terrain complexity is then calculated, and the relative radiation error is estimated by standardizing the error. The results show that the standard deviation of the relative radiation error depends on the solar zenith angle, standard deviation of the height, and resolution of the digital elevation model (or resolution of the satellite sensor data). A single regression equation describes the change in the standard deviation of the relative radiation error with solar zenith angle, standard deviation of height, and resolution of the digital elevation model. This demonstrates that it is necessary to consider terrain complexity when using moderate-resolution remotely sensed data.

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Published date: 2005

Identifiers

Local EPrints ID: 24063
URI: http://eprints.soton.ac.uk/id/eprint/24063
ISSN: 0143-1161
PURE UUID: 0a73d778-3e91-46b3-85b8-0c639fe0849d

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Date deposited: 20 Mar 2006
Last modified: 15 Mar 2024 06:51

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Contributors

Author: K-C. Wang
Author: X-J. Zhou
Author: J-M. Liu
Author: M. Sparrow

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