研究目的
To assess the performance level of the selected VIs calculated from spaceborne multispectral imagery and point-based field spectroscopy in application to crop state estimation.
研究成果
The study demonstrated that the method and scale of spectral data collection significantly impact vegetation state estimation results. Spaceborne spectral imagery is suitable for estimating crop physical parameters and monitoring development, while field spectroscopy is sensitive to chlorophyll level and photosynthesis rate. The high spatial variability of field spectral measurements suggests that average mean should be accompanied by spatial deviation parameters for comprehensive field state assessment.
研究不足
The study focused on a single chickpea field in a specific location and season, which may limit the generalizability of the findings. The high spatial variability of field spectral measurements complicates the use of average mean for field state assessment.
1：Experimental Design and Method Selection:
The study involved monitoring an irrigated chickpea field using RapidEye satellite mission and field spectrometer measurements. VIs were calculated from both data sources and compared with physical crop measurements.
2：Sample Selection and Data Sources:
The study was conducted on a chickpea field in Kibbutz Hazorea, northern Israel, during the 2015 growing season.
3：List of Experimental Equipment and Materials:
RapidEye satellite data, USB4000 portable field spectrometer, SunScan canopy analysis system, SPAD 502 Plus Chlorophyll Meter.
4：Experimental Procedures and Operational Workflow:
Field trips were conducted from January to July 2015 for agronomic inspection, physical and spectral measurements.
5：Data Analysis Methods:
VIs were calculated for each measurement, and their averages and coefficients of variation were estimated. Data normality was examined by Shapiro–Wilk W test.
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