Next Article in Journal
Knowledge-Based Modeling of Buildings in Dense Urban Areas by Combining Airborne LiDAR Data and Aerial Images
Previous Article in Journal
A Water Index for SPOT5 HRG Satellite Imagery, New South Wales, Australia, Determined by Linear Discriminant Analysis
Remote Sens. 2013, 5(11), 5926-5943; doi:10.3390/rs5115926
Article

A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US

1,* , 1,2,* , 1
, 1
, 3
, 4
 and 5
Received: 26 September 2013; in revised form: 6 November 2013 / Accepted: 7 November 2013 / Published: 14 November 2013
View Full-Text   |   Download PDF [2337 KB, uploaded 19 June 2014]   |   Browse Figures
Abstract: Remote sensing techniques that provide synoptic and repetitive observations over large geographic areas have become increasingly important in studying the role of agriculture in global carbon cycles. However, it is still challenging to model crop yields based on remotely sensed data due to the variation in radiation use efficiency (RUE) across crop types and the effects of spatial heterogeneity. In this paper, we propose a production efficiency model-based method to estimate corn and soybean yields with MODerate Resolution Imaging Spectroradiometer (MODIS) data by explicitly handling the following two issues: (1) field-measured RUE values for corn and soybean are applied to relatively pure pixels instead of the biome-wide RUE value prescribed in the MODIS vegetation productivity product (MOD17); and (2) contributions to productivity from vegetation other than crops in mixed pixels are deducted at the level of MODIS resolution. Our estimated yields statistically correlate with the national survey data for rainfed counties in the Midwestern US with low errors for both corn (R2 = 0.77; RMSE = 0.89 MT/ha) and soybeans (R2 = 0.66; RMSE = 0.38 MT/ha). Because the proposed algorithm does not require any retrospective analysis that constructs empirical relationships between the reported yields and remotely sensed data, it could monitor crop yields over large areas.
Keywords: remote sensing; crop yield; MODIS GPP; radiation use efficiency; spatial heterogeneity remote sensing; crop yield; MODIS GPP; radiation use efficiency; spatial heterogeneity
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Xin, Q.; Gong, P.; Yu, C.; Yu, L.; Broich, M.; Suyker, A.E.; Myneni, R.B. A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US. Remote Sens. 2013, 5, 5926-5943.

AMA Style

Xin Q, Gong P, Yu C, Yu L, Broich M, Suyker AE, Myneni RB. A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US. Remote Sensing. 2013; 5(11):5926-5943.

Chicago/Turabian Style

Xin, Qinchuan; Gong, Peng; Yu, Chaoqing; Yu, Le; Broich, Mark; Suyker, Andrew E.; Myneni, Ranga B. 2013. "A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US." Remote Sens. 5, no. 11: 5926-5943.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert