Wildfire detection systems planning is an essential component of national and regional wildfire management policies. The common resources usually used in wildfire detection are lookout towers, terrestrial mobile brigades, aerial reconnaissance and the general public.
This work provides an overview of plant diversity in the municipality of Rome (Italy) through an assessment of the flora in urban and suburban sectors of the city. It is aimed at providing the knowledge required to support proactive action for plant conservation. On the basis of a literature-derived catalogue and of an extensive survey campaign, the flora was investigated in terms of conservation interest; habitat types and locations that require protection measures were identified according to the occurrence of valuable native plants.
Soil moisture is a crucial component in the hydrologic cycle. The analysis of soil moisture variability is challenging because soil moisture is dependent on physical factors such as: antecedent precipitation, soil texture, land cover, and topography. This study investigated soil moisture variability, validated the utility of temporal stability analysis for measuring areal mean soil moisture, and identified factors that were strongly related to temporal stability characteristics at small mountainous sites in Northeast Asia.
The Qurayyah Sabkha is located on the western coast of the Arabian Gulf in the Eastern Province of Saudi Arabia. The current study aims to determine the number of land cover endmembers that can be detected and mapped using Landsat 7 ETM + and ASTER. Furthermore, the study also aims to determine the spatial distribution of fractional abundances of these endmembers. Clastic sediments, calcite dominate sediments, gypsum, vegetation, water, and quartz sand were identified at the surface the Qurayyah Sabkha using Minimum Noise fraction (MNF), Pixel Purity Index (PPI), and n-D Visualization.
Understanding the growth and changes in urban environments are the most dynamic system on the earth’s surface is critical for urban planning and sustainable management. This study attempts to present a space-borne satellite-based approach to demonstrate the urban change and its relation with land surface temperature (LST) variation in urban areas of Klang valley, Malaysia. For this purpose an object-based nearest neighbour classifier (S-NN) approach was first applied on SPOT 5 data acquired on 2003 and 2010 and subsequently five land cover categories were extracted.
Timber harvest often results in accelerated soil erosion and subsequent elevated fine (
Area-based information obtained from remote sensing and aerial photography is often used in studies on ecological footprint and sustainability, especially in calculating biocapacity. Given the importance of the modifiable areal unit problem (MAUP; i.e. the scale dependency of area-based information), a comprehensive understanding of how the changes of biocapacity across scales (i.e. the resolution of data) is pivotal for regional sustainable development.
Accurate identification of urban land use is essential for many applications. However, as physical surfaces of land-cover types are not necessarily related to their use and economic function, differentiating among thematically detailed urban land uses (single-family residential, multi-family residential, commercial, industrial, etc.) using remotely sensed imagery is a challenging task, particularly over large areas.
A key driver of biodiversity loss is human landscape transformation. Change detection and trajectory analysis are frequently applied methods for studying landscape change. We studied to what degree habitat-specific change detection and trajectory analysis provide different information on landscape change compared to the analysis with land-cover statistics. Our research was carried out at two spatial scales (regional, 1800 km2, 360 random points; local, 23 km2, polygon-based maps) in the Kiskunság, Hungary.
As all biodiversity-related variables, ecological indicators are influenced by environmental factors working at different spatial scales. However, assessing the relationship between environmental factors and ecological indicators is limited to a set of spatial scales determined a priori.
The spatio-temporal variation underlies and complicates studies related to earth surface processes. Subsequent to our previous studies reporting the temporal invariability of sediment concentration, this study further reports the spatial invariability of sediment concentration or the flow–sediment relationship in the hilly part of the Chinese Loess Plateau. The dense channel network dissects this area into numerous sub-watersheds, which are composed of entire slopes (a combination of the hill slope and the valley side slope).
This paper provides a comparative analysis of land-use and land-cover (LULC) changes among three study areas with different biophysical environments in the Brazilian Amazon at multiple scales, from per-pixel, polygon, census sector, to study area. Landsat images acquired during the years of 1990/1991, 1999/2000, and 2008/2010 were used to examine LULC change trajectories with the post-classification comparison approach.