长江源区-土地覆盖及植被类型地面验证点数据集

该数据集包含了2018年长江源区人工采集的土地覆盖及植被类型地面验证点数据集。数据采集中，以用地类型相对较为均一、完整的斑块作为主要采集对象，在区分其他用地类型及植被类型时相对较易识别和辨识，在地物验证中具有较好的代表性。每个样地首先利用差分GPS仪记录经度（度分秒）、纬度（度分秒）、海拔（0.1米）、采集时间等位置信息，然后以人工目视识别的办法记录主要用地类型和性质、特征、建群种等属性信息，以便回实验室验证和核对。最后，对每个样地拍摄不少于1张的景观照片。在本次采集中，90%以上的样点采集了2张及以上实景照片，以便于在土地利用分类及植被类型提取中进行验证和核查。最后，通过与Google地图的位置核对，数据经过了两轮检验和核查，保证了验证点属性的绝对正确性。

This dataset is the ground validation point dataset for land cover and vegetation types, manually collected in the Yangtze River Source Region in 2018. During the data collection process, patches with relatively uniform and complete land use types were selected as the primary sampling targets, as they are relatively easy to identify when distinguishing other land and vegetation types, and possess strong representativeness for feature verification. For each sample plot, a differential GPS receiver was first utilized to record location details including longitude (degrees, minutes, seconds), latitude (degrees, minutes, seconds), elevation with 0.1-meter precision, and collection time. Subsequently, attribute information such as the dominant land use type, its nature, morphological characteristics, and constructive species were documented through manual visual interpretation, for subsequent laboratory verification and cross-examination. Finally, no fewer than one landscape photo was captured for each sample plot. In this field collection, more than 90% of the sample plots had 2 or more on-site photos taken to facilitate verification and cross-checking during land use classification and vegetation type extraction. Ultimately, the data underwent two rounds of inspection and validation via location cross-referencing with Google Maps, to guarantee the absolute correctness of the validation point attributes.