Feasibility of estimating leaf water content using spectral indices from WorldView-3’s near-infrared and shortwave infrared bands

摘要: A recently-launched high-resolution commercial satellite, DigitalGlobe’s WorldView-3, has 8 bands in the shortwave infrared SWIR wavelength region, which may be capable of estimating canopy water content at 3.7-m spatial resolution. WorldView-3 also multispectral 1.24-m resolution with two near-infrared NIR. The relative spectral response functions for were provided by DigitalGlobe, Inc., and band reflectances determined reflectance spectra PROSPECT model simulations leaf data from maize, trees, grasses, broadleaf herbaceous eudicots. For laboratory measurements, range contents was extended including drying leaves stacks corn, soybean, oaks, maples. Correlations between indices suggested that using 1 center 1210 nm had low variability respect to content, but sensitivity. Other 5 2165 nm highest sensitivity, high caused different values structure parameter PROSPECT. Indices 2, 3 4 1570, 1660, 1730 nm, respectively correlations intermediate parameter. Spectral calculated same overall patterns as variation sensitivity; however, correlations, best used 4. crops weeds similar responses content; tree higher index saturated lower contents. specified width NIR 2 860–1040 nm overlaps absorption feature 970 nm wavelength; normalized difference insensitive because 2’s most heavily weighted wavelengths less than 930 nm. will help analyze how among plant species functional groups affects differences content.