Estimating area from an accuracy assessment error matrix

By Stephen V. Stehman. 2013

151 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Geography, Planning and Development

View Paper: https://www.semanticscholar.org/paper/ee8b69337f92fcc83f161a0756ffd3fd140d10c5

How researchers see this paper

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

In Ecology

1. Zhe Zhu
2. Giles M. Foody
3. M. Wulder
4. David P. Roy
5. Stephen V. Stehman
6. Joanne C. White
7. Matthew C. Hansen
8. Curtis E. Woodcock

In Environmental Engineering

1. Giles M. Foody
2. M. Wulder
3. Joanne C. White
4. Matthew C. Hansen
5. Alexandra Tyukavina
6. Peter V. Potapov
7. Svetlana Turubanova
8. Nicholas C. Coops

In Geography, Planning and Development

1. Stephen V. Stehman
2. Giles M. Foody
3. Svetlana Turubanova
4. Matthew C. Hansen
5. Peter V. Potapov
6. Alexandra Tyukavina
7. Curtis E. Woodcock
8. M. Wulder

Citations in the corpus

• Estimating area and map accuracy for stratified random sampling when the strata are different from the map classes (2014, result): “…simple random sampling, a stratified estimator using the map classes as ‘poststrata’ (the technique is commonly referred to as post-stratified estimation) usually results in a smaller SE relative to the conventional simple random sampling estimator (Card 1982; Olofsson et al. 2013; Stehman 2013).”
• Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia (2018, methodology): “Sample-based primary forest area totaled 3.455M, 1.044M and 0.969M km2 for Brazil, DRC and Indonesia, respectively.”
• Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012 (2015, methodology): “Per good practice guidance (Olofsson et al 2014), a sample-based approach (Cochran 1977) is required to estimate area of gross forest cover loss (Stehman2013).”
• Land cover 2.0 (2018, background): “…sampling designs for the collection of calibration and validation data have matured over time (e.g. Janssen et al. 1994; Foody 2002, Stehman 2009; Stehman 2013) with increased emphasis on calibration data needs relative to speci fi c data inputs (i.e. time series, Pelletier et al. 2017) and…”
• Good practices for estimating area and assessing accuracy of land change (2014, background): “(9)) generally has better precision than a variety of alternative estimators of area (Stehman, 2013) and consequently the stratified estimator is recommended.”