Exploiting synergies of global land cover products for carbon cycle modeling

By Martin Jung, K. Henkel, Martin Herold, G. Churkina. 2006

515 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/601608095ed27988a9f082e4361bcb069a4e1f0d

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. M. Wulder
2. Curtis E. Woodcock
3. Peter H. Verburg

In Ecology

1. David P. Roy
2. Joanne C. White
3. M. Wulder
4. Mutlu Ozdogan
5. Txomin Hermosilla
6. Nicholas C. Coops
7. Martin Herold
8. Prasad S. Thenkabail

In Global and Planetary Change

1. M. Wulder
2. Joanne C. White
3. David P. Roy
4. Curtis E. Woodcock
5. Martin Herold
6. Txomin Hermosilla
7. Nicholas C. Coops
8. Kathleen Neumann

Citations in the corpus

• The Global N2O Model Intercomparison Project (2018, background): “/SYNMAP/), which merged multiple global-satellite land-cover maps into a desired classification approach (Jung et al. 2006).”
• Global Land Cover Mapping: A Review and Uncertainty Analysis (2014, methodology): “The project used a bottom up approach to global mapping of the world by dividing it into 19 regions and using local experts to complete the mapping [16,45,46].”
• Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets (2008, background): “One approach has been to produce multiple legends from one datasets (Loveland et al., 2000) or the use of synergy among land cover datasets to derive targeted products (Jung et al., 2006).”
• Remote sensing imagery in vegetation mapping: a review (2008, background): “The mapping approaches as well as their strengths and weaknesses of the above global land cover products were highlighted by Jung et al. (2006).”
• Recent decline in the global land evapotranspiration trend due to limited moisture supply (2010, unknown): “We used a harmonized FAPAR product from three sensors (AVHRR 25 , SeaWiFS 24 , MERIS 26 ), a remote-sensing-based global land-use map 27 , and observation-based products of climate variables 28,29 as forcing data.”
• Challenges in using land use and land cover data for global change studies (2011, methodology): “Jung et al. (2006) present a straightforward method that merges existing land cover data sets into a desired classification legend for a specific application.”
• Land cover 2.0 (2018, background): “…has logically led to some users comparing land cover maps as a means of better understanding their di ff erences and strengths (Wulder et al. 2004; Herold et al. 2008) and to subsequently apply these combined products to meet science and application needs (Tuanmu and Jetz 2014; Jung et al. 2006).”