森林和作物多尺度反射率数据集

该数据集是覆盖可见光－红外波段的典型森林和农作物多尺度反射率的数据集，时间跨度包括2003年、2004年、2015年、2018年。可用于支持时间序列反演与验证、作物估产、特殊植被类型保护等研究。该数据集涉及新疆石河子市的棉花、河北的玉米花生大豆等、浙江杭州市水稻和油菜、北京市的冬小麦、南方多脉青冈、红薯、棕榈、毛竹、芭蕉、茄子、毛豆、玉米、山茶、樟树等，陕甘宁地区的典型地物，组分涉及绿叶、黄叶、茎、穗等，此外部分光谱还配套有背景光谱和天空散射比光谱曲线；测量内容包括光谱反射率（所用仪器为ASD光谱仪，波长范围为350-2500nm）、测量时间、经纬度、测量高度、测量次数、测量人、预处理人、审核人、日光情况、云量、太阳天顶角、方位角、观测角度等。土壤含水量等配套参数，测量时样方大小一般为2m*2m，在样方内测量4个点的光谱，对4个点处的测量结果取平均得到一条样方光谱数据，配套参数同样是样方内4个点的平均值。该数据集包括1163条多尺度地物光谱。

This dataset provides multi-scale reflectance data of typical forests and crops across the visible-infrared spectral band, with coverage spanning the years 2003, 2004, 2015, and 2018. It supports a range of research applications including time series inversion and validation, crop yield estimation, and conservation of special vegetation types. The dataset encompasses various vegetation and crop types across multiple regions in China: cotton in Shihezi City, Xinjiang Uygur Autonomous Region; corn, peanut, and soybean in Hebei Province; rice and rapeseed in Hangzhou, Zhejiang Province; winter wheat in Beijing Municipality; Cyclobalanopsis multinervis in southern China, as well as sweet potato, palm, moso bamboo, banana, eggplant, green soybean, corn, camellia, and camphor tree. It also includes typical ground features from the Shaanxi-Gansu-Ningxia region. The measured components cover green leaves, yellow leaves, stems, ears, and other plant parts. Additionally, some spectral datasets are paired with background spectra and sky scattering ratio spectral curves. The measured parameters include spectral reflectance (measured using an ASD spectrometer with a wavelength range of 350–2500 nm), measurement time, geographic coordinates (latitude and longitude), measurement height, number of measurements, measurer, preprocessor, reviewer, solar conditions, cloud cover, solar zenith angle, azimuth angle, and observation angle, among others. Supporting parameters such as soil moisture content are also provided. During field measurement, the standard sample plot size is generally 2 m × 2 m. Four spectral measurement points are selected within each sample plot, and the final plot-level spectral data is derived by averaging the measurements from these four points. The supporting parameters are similarly calculated as the average of the four points within the sample plot. In total, this dataset contains 1163 multi-scale ground feature spectral records.

搜集汇总

背景与挑战

背景概述

森林和作物多尺度反射率数据集是一个时间跨度从2003年到2018年，覆盖全国典型地区的多尺度反射率数据集，包含1163条光谱数据，涉及多种植被和作物类型，测量严格规范，适用于时间序列反演与验证、作物估产等研究。