Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages

https://ccc.inaoep.mx/~mdprl/documentos/17062015.pdf

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

https://escholarship.org/content/qt5ts1r442/qt5ts1r442.pdf?t=lnq1j6

Thermal adaptation in the built environment: a literature review

Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density

Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor, and growth dynamics, among other applications These indices have been widely implemented within RS applications using different airborne and satellite platforms with recent advances using Unmanned Aerial Vehicles (UAV) Up to date, there is no unified mathematical expression that defines all VIs due to the complexity of different light spectra combinations, instrumentation, platforms, and resolutions used Therefore, customized algorithms have been developed and tested against a variety of applications according to specific mathematical expressions that combine visible light radiation, mainly green spectra region, from vegetation, and nonvisible spectra to obtain proxy quantifications of the vegetation surface In the real-world applications, optimization VIs are usually tailored to the specific application requirements coupled with appropriate validation tools and methodologies in the ground The present study introduces the spectral characteristics of vegetation and summarizes the development of VIs and the advantages and disadvantages from different indices developed This paper reviews more than 100 VIs, discussing their specific applicability and representativeness according to the vegetation of interest, environment, and implementation precision Predictably, research, and development of VIs, which are based on hyperspectral and UAV platforms, would have a wide applicability in different areas

/pdf/significant-remote-sensing-vegetation-indices-a-review-of-4szax6zlwz.pdf

Significant remote sensing vegetation indices: A review of developments and applications

High resolution derivative spectra in remote sensing

Bioengineering, thermal physiology, and comfort

Thermographic measurements of the surface temperatures of animals.

THE body temperature of insects is closely related to their activity and is therefore of considerable importance physiologically and economically. It is difficult, however, to measure insect temperatures in vivo and the temperatures of unrestricted or undisturbed specimens can rarely be measured accurately by conventional thermometry. Digby1 used thermocouples to measure the excess of body temperature above air temperature of various insects exposed to simulated solar radiation in the laboratory. His results showed that the temperature excess was directly proportional to radiation flux and increased with the size of the insect.

Effect of Solar Radiation on Temperatures of Working Honey Bees

This review describes how the structure of the coats of homeothermic animals and the clothing of man influence their insulation and control the physical processes of energy exchange between the body and its surroundings. Examples in which thermal considerations are important to wellbeing or survival are chosen from ecology, climatic physiology and the study of human comfort.

https://iopscience.iop.org/article/10.1088/0031-9155/23/4/001/pdf

J. A. Clark

Papers

High resolution derivative spectra in remote sensing

Bioengineering, thermal physiology, and comfort

Thermographic measurements of the surface temperatures of animals.

Effect of Solar Radiation on Temperatures of Working Honey Bees

Thermal insulation of animal coats and human clothing