Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors
By Curtis E. Woodcock, S. Macomber, M. Pax-Lenney, Warren B. Cohen. 2001
306 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/e4fe1b1e6cc94a71a362b6ed6b90e193c619836d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Joanne C. White
- M. Wulder
- David P. Roy
- Txomin Hermosilla
- Nicholas C. Coops
- Svetlana Turubanova
- Huimin Wei
- Annemarie Schneider
In Environmental Engineering
- Joanne C. White
- Nicholas C. Coops
- M. Wulder
- Xiangzheng Deng
- Txomin Hermosilla
- Svetlana Turubanova
- Scott Rozelle
- Annemarie Schneider
In Media Technology
- M. Wulder
- Txomin Hermosilla
- Nicholas C. Coops
- Svetlana Turubanova
- Huimin Wei
- Joanne C. White
- Annemarie Schneider
- Masroor Hussain
Citations in the corpus
- Mapping the World's Intact Forest Landscapes by Remote Sensing (2008, methodology): “Landsat data sets have previously been used in a number of forest analysis applications, including mapping of land cover, landcover change, and analysis of human disturbances (Iverson et al. 1989, Woodcock et al. 2001).”
- A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping (2013, unknown): “existing classification [30], [37], [53].”
- Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach (2012, background): “To this end, ideas such as training site generalization across regions (Woodcock et al., 2001) and chain classification (Knorn et al., 2009) hold tremendous promise.”
- Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges (2020, methodology): “For example, forest monitoring is usually achieved by detecting changes using multi-period Landsat satellite images [45,63,150,196,232].”
- Cultivated land conversion and potential agricultural productivity in China (2006, unknown): “Remote sensing techniques also have been used widely to monitor the conversion of agricultural land to infrastructure (Palmera and Lankhorst, 1998; Woodcock et al., 2001; Milesi et al., 2003; Ogud et al., 2003).”
- Economic Growth and the Expansion of Urban Land in China (2010, methodology): “Remote sensing techniques also have been used widely to monitor the conversion of agricultural land to infrastructure (Palmera and Lankhorst, 1998; Woodcock et al., 2001; Milesi et al., 2003).”
- Change detection from remotely sensed images: From pixel-based to object-based approaches (2013, methodology): “…training data is important in teaching the network; and (c) ANN functionalities are not common in image processing software Forest change detection (Woodcock et al., 2001) Urban change model (Pijanowski et al., 2005) Land-cover change (Abuelgasim et al., 1999; Dai and Khorram, 1999) Urban change…”
- Land cover 2.0 (2018, background): “The advent of large-area classi fi cations, where the same land cover class may have quite di ff erent spectral signature geographically (Henderson 1976; Woodcock et al. 2001), and the use of multi-temporal satellite data to capture between-class phenological and other surface condition di ff erences…”
- Growth, population and industrialization, and urban land expansion of China (2008, background): “Yibin, which is located 270 kilometers to south- a Relatively slow growth of the urban core is associated with the counties that are in the lowest quartile (experiencing growth of less than 0.02% per year between 1995 and 2000).”