Publications

Yin, SY; Jiao, ZT; Dong, YD; Zhang, XN; Cui, L; Xie, R; Guo, J; Li, SJ; Zhu, ZD; Tong, YD; Wang, CX (2022). Evaluation of the Consistency of the Vegetation Clumping Index Retrieved from Updated MODIS BRDF Data. REMOTE SENSING, 14(16), 3997.

Abstract
The clumping index (CI) quantifies the foliage grouping within distinct canopies relative to randomly distributed canopies, which plays an important role in the vegetation radiative regime. Among the vegetation structure parameters, the global CI map can be retrieved by using multiangle remote sensing observations. The bidirectional reflectance distribution function (BRDF)/Albedo product (MCD43) of the Moderate-Resolution Imaging Spectroradiometer (MODIS) is the crucial input data of the global CI product, which provides validated spatiotemporal continuous directional reflectance data. To determine the impacts of updating the MCD43 product on the consistency and performance of global CI products, CIs retrieved from different MCD43 versions (Collection V005/V006, C5/6) were compared on a global scale and validated with field-measured CI data. The results showed that the global and seasonal comparisons of C5 and C6 CI data are generally consistent. Compared to C5 CI data, C6 CI data have improved quality with more main algorithm retrievals and fewer case of missing data. The comparisons over the field measurements indicate that both versions of CI data agree with field-measured CI data in terms of values and seasonal variations, while C6 CI data (R-2 = 0.89, RMSE = 0.05, bias = 0.02) are closer to field CIs than C5 CI data (R-2 = 0.80, RMSE = 0.07, bias = 0.03), indicating a higher accuracy for C6 CI data. The monthly CI is recommended for characterizing the overall seasonal patterns of surface CIs.

DOI:
10.3390/rs14163997

ISSN:
2072-4292