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Spectrometric Models to estimate Forage Provision variables (green Biomass, metabolisable Energy) from hyperspectral Reflectance of Vegetation Canopies

These models enable the user to estimate forage quantity (green biomass, gBM) and forage quality (metabolisable energy, ME) from hyperspectral reflectance data of vegetation canopies measured using an ASD FieldSpec 3 (or higher) Hi-Res Portable Spectroradiometer. The models were calibrated in R statistical software and were provided as RData-Files.

The models were calibrated using spectral reflectance as well as forage provision data from several sites within the study area, comprising a steep south-north gradient of climatic aridity reaching from northern Ghana to central Burkina Faso between 9.0°N and 13.5°N latitude and 0.1°W and 2.0°W longitude. It is located in the southern and northern Sudanian zone of West Africa’s savanna belt, capturing a precipitation range of 600 mm to 1200 mm corresponding to UNEP aridity indices of 0.31 (semi-arid) to 0.69 (humid).

Data collection took place at 21 sites during the rainy season 2012 (June-September). Our sampling design intended to cover diverse vegetation types and a wide range of land-use intensities (including protected and degraded areas). We stratified sampling at sites by topographic position (upslope, footslope and lowland).

Vegetation samples were oven-dried (60°C, > 48 h) to obtain gBM. Dried samples were ground for analysis of in vitro gas production (GP) using the Hohenheim gas test (HGT). Crude protein (CP) content was determined by LUFA NRW using Kjeldahl´s method (method 4.1.1). The ME was calculated using the following equation:

ME (MJ kg-1 dry matter, DM) = 2.20 + 0.1357 GP + 0.0057 CP + 0.0002859 CP²,

where GP is expressed as ml 200 mg-1 DM and CP is expressed as g kg-1 DM.

A partial least-squares regression was used to model the relations between spectral data and target variables (ME and gBM). We used the PLSR implementation in the R package 'autopls'. During PLSR, we also performed multiplicative scatter correction and brightness normalization of reflectance spectra.

Before the models can be applied, spectra have to be smoothed using Savitzky-Golay smoothing filter and noisy regions (bands 940:1170, 1350:1700, 2001:5000) have to be excluded from model application.

Further information:

Ferner, J., Linstädter, A., Südekum, K. H., & Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa’s tropical savannas. International Journal of Applied Earth Observation and Geoinformation, 41, 99-106.

Simple

Date (Publication)
2017-01-20T11:00:00
Edition
1
Presentation form
Digital model
Purpose
Estimation of forage provision variables (gBM, ME) from hyperspectral reflectance of vegetation canopies
Status
Completed
Originator
  Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn - Jessica Ferner ( Junior Researcher )
Bonn , 53113 , Germany
+49 (0)228-73-1831
Maintenance and update frequency
Not planned
GEMET - Concepts, version 2.4
  • grazing
  • living environment
  • livestock farming
  • livestock
  • environment
  • overgrazing
  • fodder plant
  • fodder
  • vegetation
  • animal nutrition
  • animal husbandry
  • biomass
  • feeding of animals
Theme
  • forage quality
  • forage quantity
  • field spectroscopy
  • reflectance
  • partial least-squares regression
  • modelling
Region
  • Ghana
  • Burkina Faso
Place
  • Nothern Ghana
  • Southern Burkina
Access constraints
Intellectual property rights
Use constraints
Other restrictions
Other constraints

The models can be used by WASCAL members. A redistrubution is not allowed.

Citation:

Ferner, J., Linstädter, A., Südekum, K. H., & Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa’s tropical savannas. International Journal of Applied Earth Observation and Geoinformation, 41, 99-106.

Metadata language
English
Character set
UTF8
Topic category
  • Environment
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Vertical extent

Supplemental Information
R script for model application available upon request
Distribution format
  • rdata ( 2017 )

Distributor

Distributor
  Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn - Jessica Ferner
OnLine resource
final_BM_model_slim-.rdata ( WWW:DOWNLOAD-1.0-http--download )

final_BM_model_slim

OnLine resource
final_ME_model_slim-.rdata ( WWW:DOWNLOAD-1.0-http--download )

final_ME_model_slim

OnLine resource
Scientific paper ( WWW:LINK-1.0-http--link )

Ferner, J., Linstädter, A., Südekum, K. H., & Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa’s tropical savannas. International Journal of Applied Earth Observation and Geoinformation, 41, 99-106.

Hierarchy level
Model
Statement

Data quality of forage variables modelled from hyperspectral reflectance is:

Model adjR² nRMSE [%]

metabolisable enery 0.56 11.7

green biomass 0.64 11.3

Source
File identifier
0029ab7f-d227-4f57-84b4-adcdb931886f XML
Metadata language
English
Character set
UTF8
Date stamp
2017-05-24T12:19:20
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Author
  - Jessica Ferner ( )
 
 

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Spatial extent

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E
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Keywords

field spectroscopy forage quality forage quantity modelling partial least-squares regression reflectance
GEMET - Concepts, version 2.4
animal husbandry animal nutrition biomass environment feeding of animals fodder fodder plant grazing livestock livestock farming living environment overgrazing vegetation

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