By using logistic regres- sions for digital soil mapping, the method predicts the occurrence of soil units based on reference soil maps (produced by conventional methods), and on sev- eral parameters derived from a USGS SDTS-SRTM DEM, namely slope gradient, profile curvature, planar curvature,...
The U.S. Soil Survey Geographic (SSURGO) database provides detailed soil mapping for most of the conterminous United States (CONUS). These data have been used to formulate estimates of soil carbon stocks, and have been useful for environmental models, including plant productivity models, hydrologic...
Springer dx.doi.org ResearchGate pubs.er.usgs.gov 相似文献 参考文献 引证文献A Carbon Budget for Forests of the Conterminous United States The potential need for national-level comparisons of greenhouse gas emissions, and the desirability of understanding terrestrial sources and sinks of carbo... DP...
You won’t get the same kind of detailed maps as you can at the USGS site, and the mapping interface is a little clunky, but it does offer data for the rest of the world, and you have the option of downloading the amps you create in JPEG or PostScript format. And when rocks die...
GCSWCD will complete the first step in the application process by classifying all farmland that will be enrolled in the program by soil productivity. A soil map will be developed, along with the “Soil Group Worksheet,” which is used to define the acreage of each soil productivity group. To...
The Harmonized World Soil map and associated SWAT data files (Lookup Table and SWAT2012.mdb)54are deposited atPangaeaandwww.2w2e.comsites. There are 16,328 soil records in this data set. The Global Land Cover Characterization (GLCC) map from USGS and SWAT data file (Lookup Table and SWAT...
USGS National Wildlife Health Center. Map of chronic wasting disease in North America.http://www.nwhc.usgs.gov/disease_information/chronic_wasting_disease/. Accessed 31 October 2016. Shelton, P. & McDonald, P.Illinois Chronic Wasting Disease: 2015-2016 Surveillance and Management Report (Project ...
Fig. 1.Map showing the spatial distribution of SIC in the contiguous USA at a) A-horizon, and b) C-horizon (USGS, 2019). 1.1The current state of knowledge The proportion of SIC stored as a part of totalsoil carbonfluctuates more frequently from one place to another (Wu et al., 2009...
those map units. Each map unit may have one or more components, soil descriptions that make up a percent of that map unit, indicated by the ‘component percent’. Each component can have one or more ‘horizons’, depth intervals, which contain organic matter content and bulk density data27...
Recently, machine and deep learning models have emerged as an efficient tool to predict surface soil moisture at high spatial and temporal scales43,44,45. Unlike physical models, machine or deep learning models are data-driven. They combine different relevant input features to map the output. For...