Mapping species density of trees, shrubs and vines in a tropical forest, using field measurements, satellite multiespectral imagery and spatial interpolation

2007 ◽  
Vol 16 (13) ◽  
pp. 3817-3833 ◽  
Author(s):  
J. Luis Hernández-Stefanoni ◽  
Juan Manuel Dupuy
Keyword(s):  
Tropical Forest ◽  
Spatial Interpolation ◽  
Field Measurements ◽  
Species Density

scholarly journals Spatial Interpolation of Cyclostationary Test Statistics in Cognitive Radio Networks: Methods and Field Measurements

2018 ◽  
Vol 67 (2) ◽  
pp. 1113-1129 ◽  
Author(s):  
Sachin Chaudhari ◽  
Marko Kosunen ◽  
Semu Makinen ◽  
Chandrasekaran Ramanathan ◽  
Jan Oksanen ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Spatial Interpolation ◽  
Field Measurements ◽  
Radio Networks ◽  
Test Statistics

scholarly journals Estimating forest structure in a tropical forest using field measurements, a synthetic model and discrete return lidar data

2015 ◽  
Vol 161 ◽  
pp. 1-11 ◽  
Author(s):  
Michael W. Palace ◽  
Franklin B. Sullivan ◽  
Mark J. Ducey ◽  
Robert N. Treuhaft ◽  
Christina Herrick ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Forest Structure ◽  
Field Measurements ◽  
Lidar Data ◽  
Synthetic Model

scholarly journals Detailed regional predictions of N<sub>2</sub>O and NO emissions from a tropical highland rainforest

2013 ◽  
Vol 10 (1) ◽  
pp. 1483-1516 ◽  
Author(s):  
N. Gharahi Ghehi ◽  
C. Werner ◽  
K. Hufkens ◽  
R. Kiese ◽  
E. Van Ranst ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Forest Soils ◽  
Regional Scale ◽  
Clay Content ◽  
Field Measurements ◽  
Soil Bulk Density ◽  
Influential Factors ◽  
Spatial And Temporal Variability ◽  
Model Predictions ◽  
No Emissions

Abstract. Tropical forest soils are a significant source for the greenhouse gas N2O as well as for NO, a precursor of tropospheric ozone. However, current estimates are uncertain due to the limited number of field measurements. Furthermore, there is considerable spatial and temporal variability of N2O and NO emissions due to the variation of environmental conditions such as soil properties, vegetation characteristics and meteorology. In this study we used a process-based model (ForestDNDC-tropica) to estimate N2O and NO emissions from tropical highland forest (Nyungwe) soils in southwestern Rwanda. To extend the model inputs to regional scale, ForestDNDC-tropica was linked to an exceptionally large legacy soil dataset. There was agreement between N2O and NO measurements and the model predictions though the ForestDNDC-tropica resulted in considerable lower emissions for few sites. Low similarity was specifically found for acidic soil with high clay content and reduced metals, indicating that chemo-denitrification processes on acidic soils might be under-represented in the current ForestDNDC-tropica model. The results showed that soil bulk density and pH are the most influential factors driving spatial variations in soil N2O and NO emissions for tropical forest soils. The area investigated (1113 km2) was estimated to emit ca. 439 &amp;pm; 50 t N2O-N yr−1 (2.8–5.5 kg N2O-N ha−1 yr−1) and 244 &amp;pm; 16 t NO-N yr−1 (0.8–5.1 kg N ha−1 yr−1). Consistent with less detailed studies, we confirm that tropical highland rainforest soils are a major source of atmospheric N2O and NO.

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