Articles | Volume 6, issue 2
https://doi.org/10.5194/essd-6-339-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-6-339-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
30 Sep 2014
Deriving a per-field land use and land cover map in an agricultural mosaic catchment
B. Seo
Biogeographical Modelling, BayCEER, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
Ecological Modelling, BayCEER, University of Bayreuth, Dr.-Hans-Frisch-Straße 1–3, 95448 Bayreuth, Germany
C. Bogner
Ecological Modelling, BayCEER, University of Bayreuth, Dr.-Hans-Frisch-Straße 1–3, 95448 Bayreuth, Germany
P. Poppenborg
Professorship of Ecological Services, BayCEER, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
E. Martin
Department of Animal Ecology and Tropical Biology, Biocentre, University of Würzburg, Am Hubland, 97074 Würzburg, Germany
M. Hoffmeister
Department of Organismic Biology, University of Salzburg, Hellbrunnerstrasse 34, 5020 Salzburg, Austria
Institute of Sensory Ecology, Department of Biology, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225 Düsseldorf, Germany
M. Jun
Research Institute for Gangwon, Junangro 5-GA, Chuncheon, Republic of Korea
T. Koellner
Professorship of Ecological Services, BayCEER, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
B. Reineking
Biogeographical Modelling, BayCEER, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
UR EMGR Écosystèmes Montagnards, Irstea, 2 rue de la Papeterie-BP 76, 38402, St-Martin-d'Hères, France
C. L. Shope
US Geological Survey, 2329 W. Orton Circle, Salt Lake City, UT 84119-2047, USA
J. Tenhunen
Plant Ecology Department, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
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Cited
24 citations as recorded by crossref.
- Mapping environmental land use conflict potentials and ecosystem services in agricultural watersheds I. Kim & S. Arnhold https://doi.org/10.1016/j.scitotenv.2018.02.176
- Improving Reliability in Reconstruction of Landsat EVI Seasonal Trajectory over Cloud-Prone, Fragmented, and Mosaic Agricultural Landscapes W. Xue et al. https://doi.org/10.3390/rs15194673
- Pest control of aphids depends on landscape complexity and natural enemy interactions E. Martin et al. https://doi.org/10.7717/peerj.1095
- Land Cover and Land Use Mapping of the East Asian Summer Monsoon Region from 1982 to 2015 Y. He et al. https://doi.org/10.3390/land11030391
- Assessing resource-use efficiency of land use A. Herzig et al. https://doi.org/10.1016/j.envsoft.2018.05.005
- Modeling the daytime net primary productivity of maize at the canopy scale based on UAV multispectral imagery and machine learning M. Peng et al. https://doi.org/10.1016/j.jclepro.2022.133041
- Land use change and ecosystem services in mountainous watersheds: Predicting the consequences of environmental policies with cellular automata and hydrological modeling I. Kim et al. https://doi.org/10.1016/j.envsoft.2017.06.018
- Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia D. Dobrinić et al. https://doi.org/10.3390/rs13122321
- A geospatial assessment of soil properties to identify the potential for crop rotation in rice systems L. Salvato et al. https://doi.org/10.1016/j.agee.2023.108753
- Classification of rare land cover types: Distinguishing annual and perennial crops in an agricultural catchment in South Korea C. Bogner et al. https://doi.org/10.1371/journal.pone.0190476
- A spatially hierarchical integration of close-range remote sensing, leaf structure and physiology assists in diagnosing spatiotemporal dimensions of field-scale ecosystem photosynthetic productivity W. Xue et al. https://doi.org/10.1016/j.agrformet.2017.08.038
- Evaluating the Effectiveness of Spatially Reconfiguring Erosion Hot Spots to Reduce Stream Sediment Load in an Upland Agricultural Catchment of South Korea K. Choi et al. https://doi.org/10.3390/w11050957
- Evaluation of executable best management practices in Haean highland agricultural catchment of South Korea using SWAT S. Jang et al. https://doi.org/10.1016/j.agwat.2016.06.008
- Contribution of Biophysical Factors to Regional Variations of Evapotranspiration and Seasonal Cooling Effects in Paddy Rice in South Korea W. Xue et al. https://doi.org/10.3390/rs13193992
- Evaluation of seabed mapping methods for fine-scale classification of extremely shallow benthic habitats – Application to the Venice Lagoon, Italy G. Montereale Gavazzi et al. https://doi.org/10.1016/j.ecss.2015.12.014
- Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis L. Hao et al. https://doi.org/10.5194/essd-12-2899-2020
- Scale‐dependent effects of landscape composition and configuration on natural enemy diversity, crop herbivory, and yields E. Martin et al. https://doi.org/10.1890/15-0856
- Linking canopy reflectance to crop structure and photosynthesis to capture and interpret spatiotemporal dimensions of per-field photosynthetic productivity W. Xue et al. https://doi.org/10.5194/bg-14-1315-2017
- Impacts of Land Use Change and Summer Monsoon on Nutrients and Sediment Exports from an Agricultural Catchment K. Kim et al. https://doi.org/10.3390/w10050544
- Extensive management of field margins enhances their potential for off-site soil erosion mitigation H. Ali & B. Reineking https://doi.org/10.1016/j.jenvman.2015.12.031
- Mapping Fractional Land Use and Land Cover in a Monsoon Region: The Effects of Data Processing Options B. Seo et al. https://doi.org/10.1109/JSTARS.2016.2544802
- Estimation of quantitative spatial and temporal distribution for groundwater storage in agricultural basin of Korea: implications for rational water use M. Raza et al. https://doi.org/10.1007/s12665-019-8179-2
- The fungicidal effect of Rosa Damascena Mill extracts against fungal infections invading Plants in Al Taif M. Ali Dosh et al. https://doi.org/10.1051/bioconf/202515002001
- OpenForest: a data catalog for machine learning in forest monitoring A. Ouaknine et al. https://doi.org/10.1017/eds.2024.53
24 citations as recorded by crossref.
- Mapping environmental land use conflict potentials and ecosystem services in agricultural watersheds I. Kim & S. Arnhold https://doi.org/10.1016/j.scitotenv.2018.02.176
- Improving Reliability in Reconstruction of Landsat EVI Seasonal Trajectory over Cloud-Prone, Fragmented, and Mosaic Agricultural Landscapes W. Xue et al. https://doi.org/10.3390/rs15194673
- Pest control of aphids depends on landscape complexity and natural enemy interactions E. Martin et al. https://doi.org/10.7717/peerj.1095
- Land Cover and Land Use Mapping of the East Asian Summer Monsoon Region from 1982 to 2015 Y. He et al. https://doi.org/10.3390/land11030391
- Assessing resource-use efficiency of land use A. Herzig et al. https://doi.org/10.1016/j.envsoft.2018.05.005
- Modeling the daytime net primary productivity of maize at the canopy scale based on UAV multispectral imagery and machine learning M. Peng et al. https://doi.org/10.1016/j.jclepro.2022.133041
- Land use change and ecosystem services in mountainous watersheds: Predicting the consequences of environmental policies with cellular automata and hydrological modeling I. Kim et al. https://doi.org/10.1016/j.envsoft.2017.06.018
- Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia D. Dobrinić et al. https://doi.org/10.3390/rs13122321
- A geospatial assessment of soil properties to identify the potential for crop rotation in rice systems L. Salvato et al. https://doi.org/10.1016/j.agee.2023.108753
- Classification of rare land cover types: Distinguishing annual and perennial crops in an agricultural catchment in South Korea C. Bogner et al. https://doi.org/10.1371/journal.pone.0190476
- A spatially hierarchical integration of close-range remote sensing, leaf structure and physiology assists in diagnosing spatiotemporal dimensions of field-scale ecosystem photosynthetic productivity W. Xue et al. https://doi.org/10.1016/j.agrformet.2017.08.038
- Evaluating the Effectiveness of Spatially Reconfiguring Erosion Hot Spots to Reduce Stream Sediment Load in an Upland Agricultural Catchment of South Korea K. Choi et al. https://doi.org/10.3390/w11050957
- Evaluation of executable best management practices in Haean highland agricultural catchment of South Korea using SWAT S. Jang et al. https://doi.org/10.1016/j.agwat.2016.06.008
- Contribution of Biophysical Factors to Regional Variations of Evapotranspiration and Seasonal Cooling Effects in Paddy Rice in South Korea W. Xue et al. https://doi.org/10.3390/rs13193992
- Evaluation of seabed mapping methods for fine-scale classification of extremely shallow benthic habitats – Application to the Venice Lagoon, Italy G. Montereale Gavazzi et al. https://doi.org/10.1016/j.ecss.2015.12.014
- Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis L. Hao et al. https://doi.org/10.5194/essd-12-2899-2020
- Scale‐dependent effects of landscape composition and configuration on natural enemy diversity, crop herbivory, and yields E. Martin et al. https://doi.org/10.1890/15-0856
- Linking canopy reflectance to crop structure and photosynthesis to capture and interpret spatiotemporal dimensions of per-field photosynthetic productivity W. Xue et al. https://doi.org/10.5194/bg-14-1315-2017
- Impacts of Land Use Change and Summer Monsoon on Nutrients and Sediment Exports from an Agricultural Catchment K. Kim et al. https://doi.org/10.3390/w10050544
- Extensive management of field margins enhances their potential for off-site soil erosion mitigation H. Ali & B. Reineking https://doi.org/10.1016/j.jenvman.2015.12.031
- Mapping Fractional Land Use and Land Cover in a Monsoon Region: The Effects of Data Processing Options B. Seo et al. https://doi.org/10.1109/JSTARS.2016.2544802
- Estimation of quantitative spatial and temporal distribution for groundwater storage in agricultural basin of Korea: implications for rational water use M. Raza et al. https://doi.org/10.1007/s12665-019-8179-2
- The fungicidal effect of Rosa Damascena Mill extracts against fungal infections invading Plants in Al Taif M. Ali Dosh et al. https://doi.org/10.1051/bioconf/202515002001
- OpenForest: a data catalog for machine learning in forest monitoring A. Ouaknine et al. https://doi.org/10.1017/eds.2024.53
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