Sensing landscape level change in soil fertility following deforestation and conversion in the highlands of Madagascar using Vis-NIR spectroscopy
Research data on soil quality are scarce in Madagascar, despite the island's widely recognized problems of soil and environmental degradation. One of the major constraints to properly assessing current status, trends and processes of soil degradation is the high level of costs involved when usi...
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| Published in | Geoderma Vol. 133; no. 3; pp. 281 - 294 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.08.2006
Elsevier |
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| Online Access | Get full text |
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| Abstract | Research data on soil quality are scarce in Madagascar, despite the island's widely recognized problems of soil and environmental degradation. One of the major constraints to properly assessing current status, trends and processes of soil degradation is the high level of costs involved when using conventional soil analytical methods. Previous studies have demonstrated that visible-near-infrared (Vis-NIR) reflectance spectroscopy may permit rapid and cost effective analysis of tropical soils that could provide new opportunities for farmers, land managers, local authorities and researchers in assessing and managing soil quality. This study tested the potential of Vis-NIR soil spectral libraries for predicting and mapping soil properties in the eastern highlands of Madagascar. Stable calibration models were developed for several key soil properties. Cross-validated
r
2 values were soil organic carbon (SOC), 0.94; total nitrogen (TN), 0.96; and cation exchange capacity (CEC), 0.80. A spectral soil fertility index (SFI) was developed based on ten commonly used agronomic indicators of soil fertility. SFI varied significantly with current and historic land use. The index was successfully calibrated to both soil reflectance measured in the laboratory (
p
=
0.003) and Landsat TM reflectance (
p
=
0.003), which permitted mapping of the index. |
|---|---|
| AbstractList | Research data on soil quality are scarce in Madagascar, despite the island's widely recognized problems of soil and environmental degradation. One of the major constraints to properly assessing current status, trends and processes of soil degradation is the high level of costs involved when using conventional soil analytical methods. Previous studies have demonstrated that visible-near-infrared (Vis-NIR) reflectance spectroscopy may permit rapid and cost effective analysis of tropical soils that could provide new opportunities for farmers, land managers, local authorities and researchers in assessing and managing soil quality. This study tested the potential of Vis-NIR soil spectral libraries for predicting and mapping soil properties in the eastern highlands of Madagascar. Stable calibration models were developed for several key soil properties. Cross-validated
r
2 values were soil organic carbon (SOC), 0.94; total nitrogen (TN), 0.96; and cation exchange capacity (CEC), 0.80. A spectral soil fertility index (SFI) was developed based on ten commonly used agronomic indicators of soil fertility. SFI varied significantly with current and historic land use. The index was successfully calibrated to both soil reflectance measured in the laboratory (
p
=
0.003) and Landsat TM reflectance (
p
=
0.003), which permitted mapping of the index. Research data on soil quality are scarce in Madagascar, despite the island's widely recognized problems of soil and environmental degradation. One of the major constraints to properly assessing current status, trends and processes of soil degradation is the high level of costs involved when using conventional soil analytical methods. Previous studies have demonstrated that visible-near- infrared (Vis-NIR) reflectance spectroscopy may permit rapid and cost effective analysis of tropical soils that could provide new opportunities for farmers, land managers, local authorities and researchers in assessing and managing soil quality. This study tested the potential of Vis-NIR soil spectral libraries for predicting and mapping soil properties in the eastern highlands of Madagascar. Stable calibration models were developed for several key soil properties. Cross- validated r super(2) values were soil organic carbon (SOC), 0.94; total nitrogen (TN), 0.96; and cation exchange capacity (CEC), 0.80. A spectral soil fertility index (SFI) was developed based on ten commonly used agronomic indicators of soil fertility. SFI varied significantly with current and historic land use. The index was successfully calibrated to both soil reflectance measured in the laboratory (p = 0.003) and Landsat TM reflectance (p = 0.003), which permitted mapping of the index. |
| Author | Walsh, Markus G. Shepherd, Keith D. Vågen, Tor-G. |
| Author_xml | – sequence: 1 givenname: Tor-G. surname: Vågen fullname: Vågen, Tor-G. email: tor-gunnar.vagen@jordforsk.no organization: Norwegian University of Life Sciences, Department of Plant and Environmental Research, 1432 Ås, Norway – sequence: 2 givenname: Keith D. surname: Shepherd fullname: Shepherd, Keith D. organization: World Agroforestry Centre (ICRAF), P.O. Box 30677, Nairobi 00100, Kenya – sequence: 3 givenname: Markus G. surname: Walsh fullname: Walsh, Markus G. organization: World Agroforestry Centre (ICRAF), P.O. Box 30677, Nairobi 00100, Kenya |
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| Keywords | Deforestation Soil fertility Soil quality Madagascar Diffuse reflectance spectroscopy Oxisols Remote sensing Upland area data Soil deterioration Tropical soil Reflection spectrometry Ecological damage Near infrared spectrometry Cost efficiency analysis conversion landscapes Status stress processes cost Indian Ocean Trend Visible spectrometry Previous study Near infrared radiation islands Analytical method Problem |
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| Snippet | Research data on soil quality are scarce in Madagascar, despite the island's widely recognized problems of soil and environmental degradation. One of the major... |
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| SubjectTerms | Agronomy. Soil science and plant productions Biological and medical sciences Deforestation Diffuse reflectance spectroscopy Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology Madagascar Oxisols Remote sensing Soil fertility Soil quality Soils Surficial geology |
| Title | Sensing landscape level change in soil fertility following deforestation and conversion in the highlands of Madagascar using Vis-NIR spectroscopy |
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