Resultados de búsqueda - "Sense data."

Geoinformatics for landscape ecology and biodiversity research por Amarnath, Giriraj, Bajracharya, B., Shrestha, B.

“…Further discussions are made on the wide variety of landscape ecological application tools, and the required data from broad spatial extents that cannot be collected through field-based methods. Remote sensing data and techniques address these needs, which include identifying and detailing the biophysical characteristics of species? …”
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Patterns of crop evaporation in the Indus Basin, recognized from the NOAA-AVHRR Satellite por Bastiaanssen, Wim G.M., Chemin, Yann H., Ahmad, Mobin-ud-Din, Asif, S.

“…This paper shows a method to compute consumptive use and soil water availability based on public domain satellite remote sensing data. The entire Indus River system is spatio-temporally modeled using a raster network based on National Oceanic Atmospheric Administration - Advanced Very High Resolution Radiometer (NOAA-AVHRR) data, at a spatial resolution of 1.1 km. …”
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Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R por Olmedo, Guillermo Federico, Ortega Farias, Samuel, Fuente Saiz, Daniel de la, Fonseca Luengo, David, Fuentes Peñailillo, Fernando

“…Currently, it is calculated with classical methods, which are difficult to extrapolate, or with land surface energy balance models (LSEB), such as METRIC and SEBAL, which are based on remote sensing data. This paper describes water, an open implementation of LSEB. …”
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Perceived Changes in Ecosystem Services in the Panchase Mountain Ecological Region, Nepal por Adhikari, S., Baral, H., Chitale, V.S., Nitschke, C.R.

“…This approach was supported by transect walks, field observations, and secondary sources of information, such as climatic and remote sensing data. Perceived changes on ES in the study region include reduced availability of water, reduced food production, degradation of forest ecosystems, and changes in species compositions. …”
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Guidelines on national inventory of village forests por Singh, K.D.

“…The emphasis in survey design is on definition of survey area, construction of a sampling framework and use of remote sensing data to supplement the field observations. In survey implementation, data must be collected in a consistent manner and with a minimum of bias or non-sampling errors. …”
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India's groundwater storage trends influenced by tube well intensification por Chinnasamy, Pennan, Agoramoorthy, G.

“…Hence, this study used remote sensing data from NASA's Gravity Recovery and Climate Experiment and the Global Land Data Assimilation Systems to assess change in GW storage. …”
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Flood-based farming systems and human-water dynamics in the Ayeyarwady Delta, Myanmar por Schulte-Kellinghaus, Nikola

“…Thus, correlations were observed between the developed definitions for the three rice growing areas based on quantitative interviews with farmers and the physical factors obtained from the input datasets – mainly remote sensing data concerning surface water and vegetation. …”
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High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning por Constenla-Villoslada, Susana, Liu, Yanyan, McBride, Linden, Ouma, Clinton, Mutanda, Nelson, Barrett, Christopher B.

“…Advances in computational methods, and the growing availability of near-real time remote sensing data, suggest that big data approaches might help meet this need. …”
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A new two-decade (2001–2019) high-resolution agricultural primary productivity dataset for India por Gangopadhyay, Prasun K., Shirsath, Paresh B., Dadhwal, Vinay K., Aggarwal, Pramod K.

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Monitoring of the mangrove ecosystem in the province of Guayas-Ecuador during the period 2018-2022. por Caiza Morales, Lorena

“…To facilitate the sustainable management of mangroves, an open tool based on remote sensing data and machine learning was developed on the Google Earth Engine platform (MANGLEE). …”
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Integrating spatial heterogeneity to enhance spatial temporal crop yield predictions por Msangi, F.M.

“…Over the years remote sensing data and machine learning models have been employed with the help of ground truth data as reference in the estimation of crop yields across space and time. …”
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Fire in the Danau Sentarum landscape: historical, present perspectives por Dennis, R.A., Erman, A., Meijaard, E.

“…Burn scar areas were detected using remotely sensed data from four periods (1973, 1990, 1994 and 1997) obtained from a 24-year record. …”
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Land and forest degradation inside protected areas in Latin America por Leisher, C., Touval, Jerome L., Hess, SM, Boucher, TM, Reymondin, Louis

“…Using six years of remote sensing data, we estimated land and forest degradation inside 1788 protected areas across 19 countries in Latin America. …”
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Mapping multiple climate-related hazards in South Asia por Amarnath, Giriraj, Alahacoon, Niranga, Smakhtin, Vladimir U., Aggarwal, Pramod K.

“…While this approach is well grounded in theories and integration of various spatial data including remote sensing data to derive hazard information, there is a clear need for linking additional elements from the ground at a finer scale among various sectors in developing comprehensive risk assessment information for a disaster risk management plan and promoting risk financing strategies.…”
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Advancing reference emission levels in subnational and national REDD+ initiatives: a CLASlite approach por Reimer, F., Asner, G.P., Joseph, S.

“…Cloud cover, sensor errors and technical barriers associated with satellite remote sensing data continue to prevent many national and sub-national REDD+ initiatives from developing their reference deforestation and forest degradation emission levels. …”
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Evaluating the need of cleaning using 3D point clouds derived from high resolution images collected with a drone por Wennerlund, Lisa

“…To handle the amount of forests in need of cleaning there is a need for efficient inventory and planning of these areas. Remotely sensed data can be used to make these processes more efficient. …”

Measuring above-ground carbon stock using spatial analysis and the InVEST model: Application in the Thoria Watershed, India por Guo, Zhe, Hettiarachchi, Upeksha

“…We analyze land cover changes in the Thoria watershed between the years 2000, 2020 and future scenarios, and subsequently map the above-ground carbon stock using the InVEST model along with remotely sensed data. The land use products and above-ground carbon stock modelling results can be used by diverse stakeholders to support land use planning, especially decisions around how to allocate land resource to balance food production, carbon sequestration, and other ecosystem services provided by common lands. …”
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Combining multisource satellite data to estimate storage variation of a lake in the Rift Valley Basin, Ethiopia por Asfaw, W., Haile, Alemseged Tamiru, Rientjes, T.

“…Integration of remote sensing data sets from multiple satellites is tested to simulate water storage variation of Lake Ziway, Ethiopia for the period 2009-2018. …”
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Spatial Assessment of the Potential Impact of Infrastructure Development on Biodiversity Conservation in Lowland Nepal por Sharma, R., Rimal, B., Stork, N., Baral, H., Dhakal, M.

“…We show the application of readily available remotely sensed data and geospatial tools to assess the potential impact of these future developments on habitat quality under three protection-level scenarios. …”
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Evaluating the potential and eligibility of conservation agriculture practices for carbon credits por Cariappa, Adeeth AG, Konath, Noufa C., Sapkota, Tek B., Krishna, Vijesh V.

“…Using farmer surveys and remote sensing data, we assess the eligibility based on the following conditions: Additionality Condition (GHG emission reductions to exceed legal requirements and the weighted mean adoption rate to be < 20% of area in the baseline), Yield Penalty Condition (no > 5% decrease in crop yields), and Quantitative Adjustment Condition (reduction in chemical fertilizer use by > 5%). …”
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