Retrogressive thaw slump (RTS) inventory in central Qinghai-Tibet Plateau (northwest of Beiluhe basin)

A new retrogressive thaw slump (RTS) inventory in central Qinghai–Tibet Plateau (QTP) were generated based on visual interpretation of nine satellite images (WV-2, Google Earth image, Ziyuan-3, Gaofen-2, Gaofen-1) and field investigations. A total 459 RTSs were confirmed with an accumulative area of 1199.49 ha (in time slice of 2018-2020). To reduce the uncertainty in identifying the RTS boundaries, all of the images were spatially corrected based on a reference image, which was obtained on 29 December 2015. The RTS inventory published by Luo et al., (2022) and Xia et al., (2022) were refered when we conduct visual interpretation. Note: the RTSs were distingusihed into active RTSs (TYPE=Y) and non-active RTSs (TYPE=N). Those RTSs were neither active nor non-active RTSs when their area increase vary from 0 to 0.01 ha or less than 0 (TYPE=T). The field named "area_ha", "perime_km" are the area and perimeter of the RTSs in the attribute tables of shapefiles. The units of area and perimeters are hectare (ha) and kilometer (km), respectively. The field named "type" indicates the status of RTSs. The "Y" and "N" are means the RTS is belongs to active RTS and non-active, respectively.本研究基于9幅卫星影像（WorldView-2（WV-2）、谷歌地球（Google Earth）影像、资源三号（Ziyuan-3）、高分二号（Gaofen-2）、高分一号（Gaofen-1））的目视解译与野外调查，构建了青藏高原中部全新的热融滑塌（retrogressive thaw slump, RTS）编目数据集。本次研究共确认459处热融滑塌，累计面积达1199.49公顷（对应2018-2020年的时间切片）。为降低热融滑塌边界识别过程中的不确定性，所有影像均以2015年12月29日获取的参考影像为基准开展空间校正。本次目视解译工作参考了Luo等（2022）与Xia等（2022）发布的热融滑塌编目成果。注：热融滑塌被划分为活动型（TYPE=Y）与非活动型（TYPE=N）两类。当热融滑塌的面积变化量介于0至0.01公顷之间，或小于0时，此类滑塌既不属于活动型也不属于非活动型，记为TYPE=T。在形状文件（shapefile）的属性表中，字段"area_ha"与"perime_km"分别代表热融滑塌的面积与周长，其单位依次为公顷（ha）与千米（km）；字段"type"用于标识热融滑塌的状态，其中"Y"代表活动型热融滑塌，"N"代表非活动型热融滑塌。