Herbaceous Biomass Estimation from SPOT 5 Imagery in Semiarid Rangelands of Idaho

Fang, Chen; Weber, Keith T.; Gokhale, Bhushan

doi:10.2747/1548-1603.48.2.195

Cited by 15 publications

(13 citation statements)

References 49 publications

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“…is is because the quantified biomass as indicated by the results of this study is lower than in most grazing systems of the same rainfall regime. For example, Chen et al [76] have shown evidence of herbaceous biomass quantity ranging between 518 kg/ha to 8075 kg/ha in the semiarid rangelands of Idaho. is is above the established herbaceous biomass quantified in the subregion.…”

Section: Soil Properties In Various Land Cover Types Soil Ph Is An Imentioning

confidence: 99%

Land Cover and Soil Properties Influence on Forage Quantity in a Semiarid Region in East Africa

Egeru

Wasonga

Gabiri

et al. 2019

Applied and Environmental Soil Science

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Soil properties contribute to the widely recognised resilience of semiarid areas. However, limited attention has been given in providing a scientific basis of how semiarid soil properties in the various land covers occur and how they influence forage quantity.is study investigated the influence of different soil properties and land cover types on herbaceous biomass quantity in the Karamoja subregion of Uganda. A completely randomized design in three land cover types (thickets and shrublands, woodlands, and savannah grasslands) was implemented. In each vegetation type, 50 × 40 m plots were demarcated with nested plots to facilitate clipping of the herbaceous layer. Composite soil samples at two depths (0-15 cm, 15-30 cm) were obtained from each plot. e results showed that soil properties varied across land cover types. Soil pH ranged between 6.9 and 8.1 and SOM, N, P, and K were generally low in all land cover types. Soil hydraulic properties revealed the existence of rapid to very rapid permeability in thickets/shrublands, grasslands, and woodlands. Percent change in soil properties (0-15 cm to 15-30 cm) was highest in P, Ca, Mg, Na, and SOM. In the grasslands, P positively (p ≤ 0.01) influenced herbaceous biomass, whereas pH, K, Na, % sand, and % clay, N, and SOM had a negative relationship with herbaceous biomass (p ≤ 0.05). Herbaceous biomass in the thickets/shrublands was negatively influenced by P, Ca, and Mg and % clay and positively by N and % silt (p ≤ 0.05). Only N and SOM were significant determinants of herbaceous biomass in the woodlands (p ≤ 0.05). e low level of soil nutrients observed in this study reveals the fragility of semiarid soils, indicating the need for sustainable landscape management.

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Section: Soil Properties In Various Land Cover Types Soil Ph Is An Imentioning

confidence: 99%

Land Cover and Soil Properties Influence on Forage Quantity in a Semiarid Region in East Africa

Egeru

Wasonga

Gabiri

et al. 2019

Applied and Environmental Soil Science

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“…Statistical regression analysis, including simple regression as well as more advanced methods such as partial least-squares regression (PLS), has been frequently used to model vegetation biophysical parameters (e.g., Hansen and Schjoerring, 2003;Cho et al, 2007;Chen et al, 2011). The simple regression approach is generally based on the use of summarized spectral variables.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral Imagery

Gong¹,

Jensen

et al. 2012

GIScience & Remote Sensing

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“…Most of these studies use vegetation indices that are mathematical functions that combine two or more spectral bands, condensing data in a quantitative numeric manner (Rizzi, 2004). This spectral information contributes to the differentiation and identification of tree species, and are related to some important biophysical properties, such as leaf area index, biomass and vegetation cover (Ahmed, Tian, Zhang, & Ting, 2011;Ghiyamat, Shafri, & Shariff, 2016) and have been used to develop aboveground biomass functions (Chen, Weber, & Gokhale, 2011;Hall, Skakun, Arsenault, & Case, 2006;Ji et al, 2012;Lu, 2006;Muukkonen & Heiskanen, 2007;Tomppo, Nilsson, Rosengren, Aalto, & Kennedy, 2002).…”

Section: Introductionmentioning

confidence: 99%

Above-ground biomass estimation forQuercus rotundifoliausing vegetation indices derived from high spatial resolution satellite images

Macedo

Sousa

Gonçalves

et al. 2018

European Journal of Remote Sensing

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Herbaceous Biomass Estimation from SPOT 5 Imagery in Semiarid Rangelands of Idaho

Cited by 15 publications

References 49 publications

Land Cover and Soil Properties Influence on Forage Quantity in a Semiarid Region in East Africa

Land Cover and Soil Properties Influence on Forage Quantity in a Semiarid Region in East Africa

Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral Imagery

Above-ground biomass estimation forQuercus rotundifoliausing vegetation indices derived from high spatial resolution satellite images

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