Articles | Volume 20, issue 2
https://doi.org/10.5194/bg-20-383-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-383-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jan 2023
Research article |
| 25 Jan 2023
| 25 Jan 2023
Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave satellite remote sensing
Matthew P. Dannenberg
CORRESPONDING AUTHOR
Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, IA 52245, USA
Mallory L. Barnes
O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN 47405, USA
William K. Smith
School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA
Miriam R. Johnston
Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, IA 52245, USA
Susan K. Meerdink
Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, IA 52245, USA
Xian Wang
O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN 47405, USA
School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA
Russell L. Scott
Southwest Watershed Research Center, Agricultural Research Service, U.S. Department of Agriculture, Tucson, AZ 85719, USA
Joel A. Biederman
Southwest Watershed Research Center, Agricultural Research Service, U.S. Department of Agriculture, Tucson, AZ 85719, USA
Viewed
Total article views: 3,721 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Sep 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,619 | 1,006 | 96 | 3,721 | 307 | 114 | 132 |
- HTML: 2,619
- PDF: 1,006
- XML: 96
- Total: 3,721
- Supplement: 307
- BibTeX: 114
- EndNote: 132
Total article views: 2,954 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jan 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,158 | 717 | 79 | 2,954 | 165 | 102 | 118 |
- HTML: 2,158
- PDF: 717
- XML: 79
- Total: 2,954
- Supplement: 165
- BibTeX: 102
- EndNote: 118
Total article views: 767 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Sep 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 461 | 289 | 17 | 767 | 142 | 12 | 14 |
- HTML: 461
- PDF: 289
- XML: 17
- Total: 767
- Supplement: 142
- BibTeX: 12
- EndNote: 14
Viewed (geographical distribution)
Total article views: 3,721 (including HTML, PDF, and XML)
Thereof 3,650 with geography defined
and 71 with unknown origin.
Total article views: 2,954 (including HTML, PDF, and XML)
Thereof 2,917 with geography defined
and 37 with unknown origin.
Total article views: 767 (including HTML, PDF, and XML)
Thereof 733 with geography defined
and 34 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
15 citations as recorded by crossref.
- Quantification of Gross Primary Production of Dryland Conifer Forests by Remotely Sensed Chlorophyll Absorption Coefficient M. Dubinin et al.
- Hybrid deep learning model with joint water-carbon constraints for simultaneous estimation of evapotranspiration and gross primary production Y. Rong et al.
- GPP-net: a robust high-resolution GPP estimation network for Sentinel-2 using only surface reflectance and photosynthetically active radiation S. Wang et al.
- Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades R. Scott et al.
- Proximal Measurements of Solar-Induced Fluorescence and Surface Reflectance Capture Seasonal Productivity and Drought Stress Dynamics in a Semiarid Grassland Ecosystem X. Wang et al.
- A Machine Learning Framework for Daily Mangrove Net Ecosystem Exchange Prediction from 2000 to 2025 L. Ruan et al.
- Global Upscaling of Gross Primary Productivity Using a Simple and Robust Modeling Scheme C. Cao et al.
- CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization Y. Kang et al.
- Flux Footprints: A Critical Link to Bridge Eddy‐Covariance Measurements With Models, Remote Sensing, and Other Observations H. Chu et al.
- X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X J. Nelson et al.
- Assessing deforestation and degradation risks in Pakistan (2001–2021): A machine learning and remote sensing perspective M. Ansari et al.
- Spatial and temporal vegetation dynamics from 2000 to 2023 in the Western Himalayan regions K. Mehmood et al.
- Near-surface remote sensing applications for a robust, climate-smart measurement, monitoring, and information system (MMIS) B. Runkle et al.
- Warming Reshapes Land-Atmosphere Coupling: The LST-SM-ET-GPP Framework R. Mi et al.
- Using automated machine learning for the upscaling of gross primary productivity M. Gaber et al.
15 citations as recorded by crossref.
- Quantification of Gross Primary Production of Dryland Conifer Forests by Remotely Sensed Chlorophyll Absorption Coefficient M. Dubinin et al.
- Hybrid deep learning model with joint water-carbon constraints for simultaneous estimation of evapotranspiration and gross primary production Y. Rong et al.
- GPP-net: a robust high-resolution GPP estimation network for Sentinel-2 using only surface reflectance and photosynthetically active radiation S. Wang et al.
- Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades R. Scott et al.
- Proximal Measurements of Solar-Induced Fluorescence and Surface Reflectance Capture Seasonal Productivity and Drought Stress Dynamics in a Semiarid Grassland Ecosystem X. Wang et al.
- A Machine Learning Framework for Daily Mangrove Net Ecosystem Exchange Prediction from 2000 to 2025 L. Ruan et al.
- Global Upscaling of Gross Primary Productivity Using a Simple and Robust Modeling Scheme C. Cao et al.
- CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization Y. Kang et al.
- Flux Footprints: A Critical Link to Bridge Eddy‐Covariance Measurements With Models, Remote Sensing, and Other Observations H. Chu et al.
- X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X J. Nelson et al.
- Assessing deforestation and degradation risks in Pakistan (2001–2021): A machine learning and remote sensing perspective M. Ansari et al.
- Spatial and temporal vegetation dynamics from 2000 to 2023 in the Western Himalayan regions K. Mehmood et al.
- Near-surface remote sensing applications for a robust, climate-smart measurement, monitoring, and information system (MMIS) B. Runkle et al.
- Warming Reshapes Land-Atmosphere Coupling: The LST-SM-ET-GPP Framework R. Mi et al.
- Using automated machine learning for the upscaling of gross primary productivity M. Gaber et al.
Saved (final revised paper)
Latest update: 18 May 2026
Short summary
Earth's drylands provide ecosystem services to many people and will likely be strongly affected by climate change, but it is quite challenging to monitor the productivity and water use of dryland plants with satellites. We developed and tested an approach for estimating dryland vegetation activity using machine learning to combine information from multiple satellite sensors. Our approach excelled at estimating photosynthesis and water use largely due to the inclusion of satellite soil moisture.
Earth's drylands provide ecosystem services to many people and will likely be strongly affected...
Altmetrics
Final-revised paper
Preprint