Tropical savannas: Biomass, plant ecology, and the role of fire and soil on vegetation

2010 ◽  
Vol 34 (4) ◽  
pp. 563-585 ◽  
Author(s):  
Peter Furley
Keyword(s):  
Remote Sensing ◽  
Plant Communities ◽  
Dynamic Change ◽  
Plant Ecology ◽  
Individual Species ◽  
Change Processes ◽  
Tropical Savannas ◽  
Remote Sensing Techniques ◽  
Biomass Plant

Four major themes can be identified over the period 2008—2009: (1) the increasing use, sophistication and resolution of remote sensing techniques and the application of these methods to assessment of biomass, C-balance and biosphere-atmosphere interactions; (2) continued interest in dynamic change processes affecting individual species and plant communities, and the changing proportions of tree, shrub and herbaceous components; (3) the nature, impact and management of fire; and (4) increasing awareness of the importance of soils and soil moisture in shaping the nature and distribution of vegetation, particularly at local scales.

scholarly journals Correction to: Application of remote sensing techniques toward the role of traditional water bodies with respect to vegetation conditions

2019 ◽  
Vol 22 (5) ◽  
pp. 4951-4951
Author(s):  
Ram Avtar ◽  
Srikantha Herath ◽  
Osamu Saito ◽  
Weena Gera ◽  
Gulab Singh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Bodies ◽  
Remote Sensing Techniques

Application of remote sensing techniques toward the role of traditional water bodies with respect to vegetation conditions

2013 ◽  
Vol 16 (5) ◽  
pp. 995-1011 ◽  
Author(s):  
Ram Avtar ◽  
Srikantha Herath ◽  
Osamu Saito ◽  
Weena Gera ◽  
Gulab Singh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Bodies ◽  
Remote Sensing Techniques

scholarly journals Towards a Combined Use of Geophysics and Remote Sensing Techniques for the Characterization of a Singular Building: “El Torreón” (the Tower) at Ulaca Oppidum (Solosancho, Ávila, Spain)

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2934
Author(s):  
Miguel Ángel Maté-González ◽  
Cristina Sáez Blázquez ◽  
Pedro Carrasco García ◽  
Jesús Rodríguez-Hernández ◽  
Jesús Fernández Hernández ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Iron Age ◽  
Late Iron Age ◽  
Combined Use ◽  
Remote Sensing Techniques ◽  
New Perspective ◽  
Ground Penetrating ◽  
Large Building

This research focuses on the study of the ruins of a large building known as “El Torreón” (the Tower), belonging to the Ulaca oppidum (Solosancho, Province of Ávila, Spain). Different remote sensing and geophysical approaches have been used to fulfil this objective, providing a better understanding of the building’s functionality in this town, which belongs to the Late Iron Age (ca. 300–50 BCE). In this sense, the outer limits of the ruins have been identified using photogrammetry and convergent drone flights. An additional drone flight was conducted in the surrounding area to find additional data that could be used for more global interpretations. Magnetometry was used to analyze the underground bedrock structure and ground penetrating radar (GPR) was employed to evaluate the internal layout of the ruins. The combination of these digital methodologies (surface and underground) has provided a new perspective for the improved interpretation of “El Torreón” and its characteristics. Research of this type presents additional guidelines for better understanding of the role of this structure with regards to other buildings in the Ulaca oppidum. The results of these studies will additionally allow archaeologists to better plan future interventions while presenting new data that can be used for the interpretation of this archaeological complex on a larger scale.

scholarly journals Evaluation of desertified delta plant communities using spectral indexes and landscape transformation models

2021 ◽  
Vol 227 ◽  
pp. 02006
Author(s):  
Mamanbek Reimov ◽  
Viktor Statov ◽  
Polat Reymov ◽  
Nizamatdin Mamutov ◽  
Salavat Abdireymov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Plant Communities ◽  
Spatial Model ◽  
Monitoring And Evaluation ◽  
Aral Sea ◽  
Landscape Transformation ◽  
Geostatistical Techniques ◽  
General Data ◽  
Remote Sensing Methods

The work concerns the application of spectral indexes (NDVI, SAVI and other types of spectral indexes) for monitoring and evaluation of the plant communities of desertified Amudarya river delta plant communities. The described approach includes the multi-level spatial model of the landscape transformation with desertification, soil erosion, soil salinity increasing, climatic changes to improve the adequacy of the remote sensing methods for complicated and non-stable post-deltaic ecosystems of the Aral Sea region. The key role of the geomorphological and pedological analysis for the spatial model implementation had been shown. Some geostatistical techniques had been used to link general data on vegetation cover calculated from remote sensing information with the type of the plant community, with consequent clarification of the vegetation map using both succession-based model approaches and field data.

Wetland Plants and Aquatic Macrophytes

2018 ◽  
pp. 173-207
Author(s):  
Jocelyne M.R. Hughes ◽  
Beverley R. Clarkson ◽  
Ana T. Castro-Castellon ◽  
Laura L. Hess
Keyword(s):  
Remote Sensing ◽  
Plant Communities ◽  
Freshwater Wetland ◽  
Technical Expertise ◽  
Field Surveys ◽  
Vegetation Surveys ◽  
Research Questions ◽  
Freshwater Plants ◽  
Remote Sensing Techniques ◽  
Conservation And Management

Ecologists, conservationists, and managers frequently need to recognise and survey different aquatic plant species, vegetation types, plant communities, or habitat. It is, after all, the vegetation that defines the extent of a freshwater wetland. This chapter reviews the methods used to survey both ‘terrestrial’ and ‘aquatic’ freshwater plants and considers the approaches taken, some of the specialised equipment used, and technical expertise needed to conduct wetland vegetation surveys. The techniques and approaches used and associated sampling strategies are considered for field surveys; experiments including meso- and macrocosms; and surveys involving remote sensing techniques. The chapter ends by examining a series of examples that illustrate how different vegetation research questions in ecology, conservation, and management can be answered using a diversity of methods.

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