Publications

Chen, Y; Mo, W; Mo, J; Ding, M (2020). MONITORING OF SUGARCANE GROWTH BASED ON THE FUSED REMOTE SENSING NDVI SERIES AND GROUND SEEDING SURVEY. TRANSACTIONS OF THE ASABE, 63(6), 1795-1804.

Abstract
This study addressed the instability of clear-sky remote sensing data with high spatial resolution in sugarcane growing areas in southern China and the current inconsistency between traditional survey results and remote sensing results for seedling growth. Moderate-resolution imaging spectroradiometer (MODIS) data and China land resources satellite (HJ-1 CCD) data were used to build high-resolution normalized difference vegetation index (NDVI) time series using the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM). Agronomic indicators of sugarcane were obtained by field sampling and were used for determining the remote sensing monitoring index (NDVI) of sugarcane growth. The method provided satisfactory results for evaluating sugarcane growth, with accuracy exceeding 90%. Moreover, sugarcane growth monitoring in a wider area was highly correlated with yield per unit area.

DOI:
10.13031/trans.13810

ISSN:
2151-0032