2017年-2018年中国主要农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2017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。This dataset contains multi-scale reflectance data of typical forests and crops covering the visible-infrared spectral range, with a time span covering 2017 and 2018. It can support research such as time series inversion and validation, crop yield estimation, and conservation of special vegetation types. This dataset covers samples including cotton in Shihezi City, Xinjiang; corn, peanut, soybean, etc. in Hebei Province; rice and rapeseed in Hangzhou, Zhejiang Province; winter wheat in Beijing; Cyclobalanopsis multinervis, sweet potato, palm, moso bamboo, plantain, eggplant, edamame, corn, camellia, camphor tree and other vegetation in southern China, as well as typical surface features in the Shaanxi-Gansu-Ningxia region. The measured components include green leaves, yellow leaves, stems, spikes and other parts. In addition, some spectral datasets are accompanied by background spectra and sky scattering ratio spectral curves. The measured contents include spectral reflectance (measured by ASD spectrometer with a wavelength range of 350-2500 nm), measurement time, longitude and latitude, measurement height, number of measurements, measurer, preprocessor, reviewer, solar conditions, cloud cover, solar zenith angle, azimuth angle, observation angle and other parameters. Supporting parameters such as soil moisture content are also included. The typical size of the sampling quadrat during measurement is 2 m × 2 m. The spectra of 4 points within the quadrat are measured, and the average of the 4 measurement results is taken to obtain one set of quadrat spectral data. The supporting parameters are also the average values of the 4 points within the quadrat.

搜集汇总

背景与挑战

背景概述

该数据集是2017年至2018年中国主要农作物多尺度反射率数据集，覆盖可见红外波段，涉及棉花、玉米、水稻等多种作物和植被类型，提供高精度的光谱反射率测量数据（波长范围350-2500 nm）及相关环境参数。它主要用于支持作物产量估算、时间序列反演与验证等农业遥感研究，数据来源于实地采集和卫星遥感产品，经过严格质量控制。