کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10139662 1645975 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
ترجمه فارسی عنوان
نسل جدیدی از پایگاه ملی زمین پوشش ایالات متحده: الزامات، اولویت های تحقیق، طراحی و استراتژی های اجرایی
کلمات کلیدی
پایگاه ملی پوشش ایالات متحده آمریکا 2016، زمین پوشش چندگانه و تغییر، روش شناسی، استراتژی های اجرایی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation's land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation's land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2-3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2016: a streamlined process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2016 production. The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/row throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested area and all years. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 146, December 2018, Pages 108-123
نویسندگان
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