Forest Cover Type Dataset 1. Overview This dataset contains tree observations from four areas of the Roosevelt National Forest in Colorado. All observations are cartographic variables (no remote sensing) from 30 meter x 30 meter sections of forest. There are over half a million measurements total!
The methodology is applied to forest cover-type dataset. We have also transformed the wilderness areas and soil types variables into two variables. Such type of transformation provides improved predictive performance as well as easy application of model averaging technique to the data....
不同土地覆盖类型上植被生长的最适温度 optimum temperature of vegetation growth for various land cover types in china 热度: 徐州地区维管植物资源调查及主要森林植被类型研究 热度: Forest Cover Type Prediction ECE 539 Term Project Brett Meyer 12/14/01 ...
First, based on the vegetation type information of each sample, we selected samples of planted and natural forests. Second, we employed the spatial analysis tool in ArcGIS Pro 3.0 to analyze the forest mask data from the annual China Land Cover Dataset (CLCD)54 from 1990 to 2020 (...
with imagery dates selected for optimal visibility of tree crowns. We then used deep learning techniques to train a model that can segment tree crown cover in the imagery, and applied this model to the entire dataset to produce a continental scale map of tree cover. The full processing workflo...
and even National Parks and Forests. We will continue to use this dataset to rapidly assess where forest damage agents have been observed and outbreaks may be building, and to keep a finger on the pulse of forest health concerns of the public. Remarkably, between April and December, 312 obse...
We will run Isolation Forest model on the subset of data selected. For simplicity, the it is run using values such as contamination = 0.01 which means 1% of the dataset is anomalous. You can tune this and other model parameters further depending on the size and ...
et al. A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset. Gondwana Research, 2023, 123: 107-124. DOI:10.1016/j.gr.2022.08.004 139. Sun, D., Gu, Q., Wen, H. et al. Assessment...
Forest harvesting information were obtained from the LUH2 land transition dataset (https://daac.ornl.gov/VEGETATION/guides/LUH2_GCB2019.html). The annual, spatial-explicit harvesting data cover the entire study period (1900–2019) at a 0.5° resolution. We then split the annually harvested for...
Overall, about 0.2% of forested pixels in our dataset were disturbed annually, likely due to forest harvest. Annual disturbance rates in projects were statistically lower overall than in Supersections; on average, 0.16% of project land was disturbed each year compared to 0.22% of Supersection ...