Badlands are a hydrogeomorphological feature with operative processes leading to intense erosion. This study utilizes the morphometric methods with the help of remote sensing data in a GIS environment to determine the characteristics of the badlands of Mandakini River watershed and their interpretation to explore the factors responsible for the formation of the typical landforms. Objective interpretation of morphometric data of badlands with the help of statistical Pearson’s correlation coefficient (PCC) and dendrogram cluster may be made to emphasize the controlling factors. The morphometric parameters like the total number of streams (Nu), bifurcation ratio (Rb), drainage density (Dd), drainage frequency (Fs), drainage texture (Dt), and infiltration number (If) and their correlation in the study area plays a significant role in the advancement of rills and gullies. In the present area, the total number of streams (Nu) is very significantly related with the lengths of the first-order (L1), the second-order (L2), and the third-order streams (L3) along with the total stream length of all orders (Lu) in the third-order and the fourth-order sub-watersheds. Bifurcation ratio (Rb) is strongly correlated with L1, L2, L3, L4, and drainage texture (Dt) in the fourth-order sub-watershed. These correlations insinuate a tectonic influence in the basin and show an ultrafine drainage texture that ultimately forms badland topography. The relation between Dd-Lg-C-If-Rn produces a self-enhancing system of badland development, which promotes erosion in the area under study. These correlations provide a well-figured observation of the sub-watershed that, due to the increase in infiltration number (If), the drainage density (Dd) also increases, which leads to enhancement of channel cutting and erosion rates (low Lg and C value). This correlation coefficient of Rn is moderately low, indicating a single storey type of badlands. The badlands seem to have formed owing to setting up of self-enhancing erosive system on paleo wetlands, as evidenced by the presence of calcretes. Calcretes have been related to the presence of wetlands’ conditions. These have been related to fall in water levels, therefore, indicating much higher water levels nearly close to ground surfaces before setting up badlands conditions. Thus, the badlands which have shallow calcretes horizons can be said to have been wetlands in the past.

荒地是水文地貌特征，其操作过程会导致严重侵蚀。这项研究利用GIS环境中的遥感数据，借助形态计量学方法来确定曼达基尼河流域荒地的特征及其解释，以探索造成典型地貌形成的因素。借助统计皮尔逊相关系数（PCC）和树状图聚类可以客观地解释荒地的形态计量数据，以强调控制因素。形态参数包括河流总数（Nu），分叉比（Rb），排水密度（Dd），排水频率（Fs），排水质地（Dt），研究区的入渗量（If）及其相关性在小溪和沟壑的发展中起着重要作用。在当前区域中，流的总数（Nu）与一阶（L1），二阶（L2）和三阶流（L3）的长度以及总数密切相关三阶和四阶子流域中所有阶的流长（Lu）。分流比（Rb）与四阶子流域的L1，L2，L3，L4和排水质地（Dt）密切相关。这些相关性暗示了该盆地的构造影响，并显示出超细的排水质地，最终形成了荒地地形。Dd-Lg-C-If-Rn之间的关系产生了荒地发展的自我增强系统，从而促进了研究区域的侵蚀。这些相关性提供了一个很好的子流域观测结果，由于入渗量（If）的增加，排水密度（Dd）也增加了，这导致了河道切割和侵蚀率的提高（Lg和C较低）值）。Rn的相关系数适中较低，表明是荒地的单层类型。荒地似乎是由于在古湿地上建立了自我增强的侵蚀系统而形成的，这一点由小流星的存在证明了。Calcretes与湿地条件的存在有关。这些与水位下降有关，因此，表明在设置荒地条件之前，接近地面的水位要高得多。因此，具有较浅层水平的荒地可以说是过去的湿地。