On the accuracy of landscape pattern analysis using remote sensing data

By Guofan Shao, Jianguo Wu. Landscape Ecology, 2008

309 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/191c2ca91d40dc112a6ef47e829b66ffcde86ee2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Stephen V. Stehman
2. Giles M. Foody
3. Matthew Betts
4. Zhiqiang Yang
5. K. McGarigal
6. Michael P. Austin
7. Qinghua Guo
8. Wenkai Li

In Ecology

1. Giles M. Foody
2. Stephen V. Stehman
3. K. McGarigal
4. Jian Peng
5. S. Shirley
6. Zhiqiang Yang
7. Samuel A. Cushman
8. Curtis E. Woodcock

In Global and Planetary Change

1. Giles M. Foody
2. Stephen V. Stehman
3. Jian Peng
4. You Li
5. Wei-feng Li
6. Yanglin Wang
7. S. Shirley
8. Jiansheng Wu

Citations in the corpus

• Sampling designs for accuracy assessment of land cover (2009, background): “Shao and Wu ( 2008 ) emphasize the importance of understanding accuracy of landscape pattern: ‘Because most studies of landscape pattern analysis use classified thematic maps based on remote sensing data, the accuracy or uncertainty associated with the maps is critical for our ability to reliably ch”
• Assessing the accuracy of land cover change with imperfect ground reference data (2010, background): “Not only do many studies fail to achieve such accuracy (Wilkinson, 2005; Shao and Wu, 2008) but they are also implicitly stating that a ~15% error in the ground data set is tolerable.”
• Does pollen-assemblage richness reflect floristic richness? A review of recent developments and future challenges (2016, unknown): “…et al., 2001 Steiner and Köhler, 2003 Wagner and Fortin, 2005 Wiens and Moss, 2005 Dufour et al., 2006 Carranza et al., 2007 Cushman et al., 2008 Shao and Wu, 2008 Uuemaa et al., 2008 Jones and Vaughan, 2010 Rocchini et al. 2010 Hjort and Luoto, 2012 Hjort et al., 2012 Ewers et al., 2013 Wang…”
• Species distribution modelling for the people: unclassified landsat TM imagery predicts bird occurrence at fine resolutions (2013, background): “…of similar studies of avian habitat relationships using a classification process varies between 60 and 99% with a mean of 85% (Gottschalk et al., 2005); however, actual classification accuracy is often lower than expected or unknown due to the high cost associated with assessment (Shao & Wu, 2008).”
• Evaluating the effectiveness of landscape metrics in quantifying spatial patterns (2010, background): “, 2005; Saura and Castro, 2007), the accuracy of source data (Shao et al., 2001; Shao and Wu, 2008), and the ecological implications of landscape metrics (Tischendorf, 2001; Lausch and Herzog, 2002; Bastin et al.”