Literature DB >> 16565808

Using NDVI to assess vegetative land cover change in central Puget Sound.

Dana F Morawitz1, Tina M Blewett, Alex Cohen, Marina Alberti.   

Abstract

We used the Normalized Difference Vegetation Index (NDVI) in the rapidly growing Puget Sound region over three 5-year time blocks between 1986-1999 at three spatial scales in 42 Watershed Administrative Units (WAUs) to assess changes in the amounts and patterns of green vegetation. On average, approximately 20% of the area in each WAU experienced significant NDVI change over each 5-year time block. Cumulative NDVI change over 15 years (summing change over each 5-year time block) was an average of approximately 60% of each WAU, but was as high as 100% in some. At the regional scale, seasonal weather patterns and green-up from logging were the primary drivers of observed increases in NDVI values. At the WAU scale, anthropogenic factors were important drivers of both positive and negative NDVI change. For example, population density was highly correlated with negative NDVI change over 15 years (r = 0.66, P < 0.01), as was road density (r = 0.71, P < 0.01). At the smallest scale (within 3 case study WAUs) land use differences such as preserving versus harvesting forest lands drove vegetation change. We conclude that large areas within most watersheds are continually and heavily impacted by the high levels of human use and development over short time periods. Our results indicate that varying patterns and processes can be detected at multiple scales using changes in NDVIa values.

Entities:  

Mesh:

Year:  2006        PMID: 16565808     DOI: 10.1007/s10661-006-1679-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

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Authors:  Robert J Naiman; Henri Decamps; Michael Pollock
Journal:  Ecol Appl       Date:  1993-05       Impact factor: 4.657

  1 in total
  8 in total

1.  An alternative approach for delineating eco-sensitive zones around a wildlife sanctuary applying geospatial techniques.

Authors:  Shovik Deb; Akram Ahmed; Debajit Datta
Journal:  Environ Monit Assess       Date:  2013-12-14       Impact factor: 2.513

2.  Post-classification comparison of land cover using multitemporal Landsat and ASTER imagery: the case of Kahramanmaraş, Turkey.

Authors:  Hakan Alphan; Hakan Doygun; Yüksel I Unlukaplan
Journal:  Environ Monit Assess       Date:  2008-04-09       Impact factor: 2.513

3.  Vegetation coverage change and associated driving forces in mountain areas of Northwestern Yunnan, China using RS and GIS.

Authors:  Jian Peng; Yinghui Liu; Hong Shen; Yinan Han; Yajing Pan
Journal:  Environ Monit Assess       Date:  2011-09-13       Impact factor: 2.513

4.  Analysis of land cover/use changes using Landsat 5 TM data and indices.

Authors:  Paria Ettehadi Osgouei; Sinasi Kaya
Journal:  Environ Monit Assess       Date:  2017-03-01       Impact factor: 2.513

5.  A comparative study on generating simulated Landsat NDVI images using data fusion and regression method-the case of the Korean Peninsula.

Authors:  Mi Hee Lee; Soo Bong Lee; Yang Dam Eo; Sun Woong Kim; Jung-Hun Woo; Soo Hee Han
Journal:  Environ Monit Assess       Date:  2017-06-12       Impact factor: 2.513

6.  Spatial-Temporal Evolution and Driving Forces of NDVI in China's Giant Panda National Park.

Authors:  Mengxin Pu; Yinbing Zhao; Zhongyun Ni; Zhongliang Huang; Wanlan Peng; Yi Zhou; Jingjing Liu; Yingru Gong
Journal:  Int J Environ Res Public Health       Date:  2022-05-31       Impact factor: 4.614

7.  What Makes Green Cities Unique? Examining the Economic and Political Characteristics of the Grey-to-Green Continuum.

Authors:  Daniel Miller Runfola; Sara Hughes
Journal:  Land (Basel)       Date:  2014

8.  Land Cover Classification by Integrating NDVI Time Series and GIS Data to Evaluate Water Circulation in Aso Caldera, Japan.

Authors:  Hiroki Amano; Yoichiro Iwasaki
Journal:  Int J Environ Res Public Health       Date:  2020-09-10       Impact factor: 3.390

  8 in total

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