scholarly journals Estimation of surface temperature with images obtained with drones

2020 ◽  
Vol 9 (6) ◽  
pp. 397
Author(s):  
Josiclêda Domiciano Galvíncio
Keyword(s):  
Climate Change ◽  
Surface Temperature ◽  
Temporal Variation ◽  
Environmental Analysis ◽  
Meteorological Data ◽  
Environmental Issues ◽  
Accurate Estimate ◽  
Global Temperature ◽  
Spatial And Temporal Variation ◽  
Radiometer Calibration

Every day has increased and diversified the problems related to environmental issues causing serious social impacts, one of them is the increase in global temperature. Thus, studying the spatial and temporal variation of temperature becomes increasingly important. Spatial and temporal temperature information is quite scarce because generally monitoring meteorological data is precipitation. With the new technology’s methodologies have been developed to estimate the surface temperature. Thus, the aim of this study was to use drone images to estimate surface temperature and preliminary verify its accuracy. The results showed that the results are very promising since the estimates when compared with observed data were above 90% of success. It is concluded that it is possible to obtain accurate estimate of surface temperature with drone images.Keywords: climate change, radiometer calibration, environmental analysis.

Spatial and temporal variation in morphology in Australian whistlers and shrike-thrushes: is climate change causing larger appendages?

2020 ◽  
Vol 130 (1) ◽  
pp. 101-113
Author(s):  
Isabelle R Onley ◽  
Janet L Gardner ◽  
Matthew R E Symonds
Keyword(s):  
Climate Change ◽  
Body Size ◽  
Temporal Variation ◽  
Relative Size ◽  
Bird Species ◽  
Spatial And Temporal Variation ◽  
Climatic Warming ◽  
Morphological Response ◽  
Allen’S Rule ◽  
Spatio Temporal

Abstract Allen’s rule is an ecogeographical pattern whereby the size of appendages of animals increases relative to body size in warmer climates in order to facilitate heat exchange and thermoregulation. Allen’s rule predicts that one consequence of a warming climate would be an increase in the relative size of appendages, and evidence from other bird species suggests that this might be occurring. Using measurements from museum specimens, we determined whether spatio-temporal variation in bills and legs of Australian Pachycephalidae species exhibits within-species trends consistent with Allen’s rule and increases in temperature attributable to climatic warming. We conducted regression model analyses relating appendage size to spatio-temporal variables, while controlling for body size. The relative bill size in four of the eight species was negatively associated with latitude. Tarsus length showed no significant trends consistent with Allen’s rule. No significant increases in appendage size were found over time. Although bill size in some species was positively correlated with warmer temperatures, the evidence was not substantial enough to suggest a morphological response to climatic warming. This study suggests that climate change is not currently driving adaptive change towards larger appendages in these species. We suggest that other adaptive mechanisms might be taking place.

scholarly journals Spatial and temporal variation in climate change: a bird’s eye view

2009 ◽  
Vol 97 (1-2) ◽  
Author(s):  
Joseph J. Fontaine ◽  
Karie L. Decker ◽  
Susan K. Skagen ◽  
Charles van Riper
Keyword(s):  
Climate Change ◽  
Temporal Variation ◽  
Spatial And Temporal Variation

Assessing the spatio-temporal variation and uncertainty patterns of historical and future projected water resources in China

2013 ◽  
Vol 4 (3) ◽  
pp. 302-316
Author(s):  
Qiuan Zhu ◽  
Hong Jiang ◽  
Changhui Peng ◽  
Jinxun Liu ◽  
Xiuqin Fang ◽  
...  
Keyword(s):  
Climate Change ◽  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
Historical Period ◽  
Precipitation Pattern ◽  
Climate Change Scenarios ◽  
Emission Scenarios ◽  
Future Period ◽  
Dynamic Global Vegetation Model ◽  
The Future

The spatial and temporal variation and uncertainty of precipitation and runoff in China were compared and evaluated between historical and future periods under different climate change scenarios. The precipitation pattern is derived from observed and future projected precipitation data for historical and future periods, respectively. The runoff is derived from simulation results in historical and future periods using a dynamic global vegetation model (DGVM) forced with historical observed and global climate models (GCMs) future projected climate data, respectively. One GCM (CGCM3.1) under two emission scenarios (SRES A2 and SRES B1) was used for the future period simulations. The results indicated high uncertainties and variations in climate change effects on hydrological processes in China: precipitation and runoff showed a significant increasing trend in the future period but a decreasing trend in the historical period at the national level; the temporal variation and uncertainty of projected precipitation and runoff in the future period were predicted to be higher than those in the historical period; the levels of precipitation and runoff in the future period were higher than those in the historical period. The change in trends of precipitation and runoff are highly affected by different climate change scenarios. GCM structure and emission scenarios should be the major sources of uncertainty.

scholarly journals Spatial and Temporal Variation of NDVI in Response to Climate Change and the Implication for Carbon Dynamics in Nepal

Forests ◽  
2018 ◽  
Vol 9 (6) ◽  
pp. 329 ◽  
Author(s):  
Binod Baniya ◽  
Qiuhong Tang ◽  
Zhongwei Huang ◽  
Siao Sun ◽  
Kua-anan Techato
Keyword(s):  
Climate Change ◽  
Temporal Variation ◽  
Carbon Dynamics ◽  
Spatial And Temporal Variation
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