I have browse the internet for the spectral signature for different condition. The leaf pigments, cell structure and water content all impact the spectral reflectance of vegetation. The reflectance curve is affected by moisture content, soil texture, surface roughness, presence of iron oxide and organic matter. Here are few spectral signature graph of the leaf which might be helpful to understand vegetation reaction with the electromagnetic wave. Vegetation Spectral Reflectance Curves . Vegetative ground covers, shrubs and trees, soils and minerals, mine related features and built-up features will be incorporated into the database. Green leaves have a distinct spectral reflectance pattern in the visible (vis) and near-infrared (nir) wavelengths. A compound in leaves called chlorophyll strongly absorbs radiation in the red and blue wavelengths but reflect green wavelength. The spectra of these species were measured over time at fortnightly intervals. Relatively recent advances, particularly with respect to hyperspectral and very high spatial resolution sensors, offer the potential for application to the mine environment. The method considers the factors affecting spectral data (outlined in Pfitzner et al 2005) and provides standards to collect time series spectra of vegetation that maximise the spectral response of the end member itself (Pfitzner & Carr 2006, Pfitzner et al 2006). Spectral properties of plants have been utilized in the context of their usefulness in studying vegetation from remote sensing platforms. The data obtained with the spectral database project will show whether or not there is potential for fine-spectral resolution remote sensing products to map vegetation cover and condition based on spectral signatures at scales appropriate to the mine environment. The data collected to date will result in a knowledge base far greater than that ever obtained for vegetation spectra with respect to the range of species sampled, the frequency of sampling, duration of sampling, and method and metadata documentation. We acknowledge the Traditional Owners of country throughout Australia and recognise their continuing connection to land, waters and culture. The spectral reflectance curve of bare soil is considerably less variable. Importantly, the standards facilitate measurement comparisons and improved measurement accuracy through identification and reduction of primary sources of uncertainty. The term spectral signature can also be used for spectral reflectance curves. Spectral reflectance of common land covers. Plants that are stressed or diseased can also be identified by their distinct spectral signatures. It is not just the relflectance of the plants themselves that controls the spectral radiation being emitted from a patch of ground, also having an effect: The reflectance of the soil beneath the plants; Solar and sensor elevation ; The soil curve shows a more regular variation of reflectance. A literature review of the factors affecting in situ spectral measurements was undertaken to define what equipment needed to be calibrated, what features needed to be characterised, how the equipment should be calibrated, how the features should be characterised and how the required measurement accuracy could be obtained. King Edward Terrace The only difference required may be that of the fore optic height and target field-of-view. While many field spectral campaigns may be undertaken, the effort expended in ground-based spectral collection is often only applicable to a single point and time. See our advice and support. Careful consideration must be To do this, dense and homogenous plots of key ground cover species pertinent to the success of minesite rehabilitation, including native and weedy grasses, herbs, vines and sedges, were established. Department of Agriculture, Water and the Environment, Threatened species & ecological communities, Environment Protection and Biodiversity Conservation Act 1999, SSR195 - Standards for reflectance spectral measurement of temporal vegetation plots (PDF - 6.94 MB), SSR195 - Standards for reflectance spectral measurement of temporal vegetation plots (DOCX - 21.96 MB), Part 1 - Preliminary pages including Contents, Executive Summary and Introduction (PDF - 567 KB), Part 2 - Literature review and research context (PDF - 1 MB), Part 3 - Plant species and sites (PDF - 1.7 MB), Part 4 - Factors affecting spectral reflectance measurements (PDF - 1.2 MB), Part 5 - Reflectance spectra and metadata: A database approach (PDF - 568 KB), Appendix A - SSD's standards for collecting field reflectance spectra (PDF - 541 KB), Appendix B - Standards for collecting laboratory measurements (PDF - 2.8 MB), © Department of Agriculture, Water and the Environment, Standards for reflectance spectral measurement of temporal vegetation plots. This is because few samples are acquired, accurate metadata are not recorded, the data are not stored in a manner that is easily retrievable, the method of data collection is not described and the data represent targets whose spectral response varies spatially and temporally. Apart from improved measurement quality (compared with most ad hoc spectral campaigns), the design and implementation of these spectral standards will also limit lost time due to poor measurements, enable the measurements and associated uncertainties to be independent of the technician undertaking the measurements, provide confidence that the operating equipment is performing as expected, and accelerate the training of new staff members.