کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5755565 | 1621800 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Applying time series Landsat data for vegetation change analysis in the Florida Everglades Water Conservation Area 2A during 1996-2016
ترجمه فارسی عنوان
استفاده از داده های لندست برای تجزیه و تحلیل تغییرات پوشش گیاهی در منطقه حفاظت آب و فاضلاب فلوریدا اورگلدز در سالهای 1996 تا 2016
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کلمات کلیدی
تجزیه و تحلیل تغییر شیء مبتنی بر، نقشه برداری گیاهی و تجزیه و تحلیل تغییر، فلوریدا اورگلیدز،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
کامپیوتر در علوم زمین
چکیده انگلیسی
Mapping plant communities and documenting their changes is critical to the on-going Florida Everglades restoration project. In this study, a framework was designed to map dominant vegetation communities and inventory their changes in the Florida Everglades Water Conservation Area 2A (WCA-2A) using time series Landsat images spanning 1996-2016. The object-based change analysis technique was combined in the framework. A hybrid pixel/object-based change detection approach was developed to effectively collect training samples for historical images with sparse reference data. An object-based quantification approach was also developed to assess the expansion/reduction of a specific class such as cattail (an invasive species in the Everglades) from the object-based classifications of two dates of imagery. The study confirmed the results in the literature that cattail was largely expanded during 1996-2007. It also revealed that cattail expansion was constrained after 2007. Application of time series Landsat data is valuable to document vegetation changes for the WCA-2A impoundment. The digital techniques developed will benefit global wetland mapping and change analysis in general, and the Florida Everglades WCA-2A in particular.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 57, May 2017, Pages 214-223
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 57, May 2017, Pages 214-223
نویسندگان
Caiyun Zhang, Molly Smith, Jie Lv, Chaoyang Fang,