Resultados de búsqueda - "Sense data."

Divergent environmental preferences and areas of sympatry of tick species in the Amblyomma cajennense complex (Ixodidae) por Estrada-Peña, Agustín, Tarragona, Evelina Luisa, Vesco, Umberto, de Meneghi, Daniele, Mastropaolo, Mariano, Mangold, Atilio Jose, Guglielmone, Alberto, Nava, Santiago

“…We inferred the abiotic niches of these organisms using coefficients of a harmonic regression of the temperature and the Normalized Difference Vegetation Index (NDVI, reflecting plant stress) from remotely sensed data from MODIS satellites with 0.05° spatial resolution. …”
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Using APAR to Predict Aboveground Plant Productivity in Semi-Arid Rangelands: Spatial and Temporal Relationships Differ por Gaffney, Rowan, Porensky, Lauren M., Feng, Gao, Irisarri, Jorge Gonzalo Nicolás, Durante, Martin, Derner, Justin D., Augustine, David J.

“…Using two complimentary ANPP datasets and remotely sensed data derived from MODIS and a Landsat/MODIS fusion data product, we find that slopes of spatial models are generally greater than slopes of temporal models. …”
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Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production por Chaali, Nesrine, Ramírez Gomez, Carlos Manuel, Jaramillo Barrios, Camilo Ignacio, Garr´e, Sarah, Barrero, Oscar, Ouazaa, Sofiane, Calderon Carvajal, John Edinson

“…However, relying solely on one sensing data type may not fully capture the intricate relationship between soil properties and crop physiological processes. …”
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Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies por Dembélé, M., Ceperley, N., Zwart, Sander J., Salvadore, E., Mariethoz, G., Schaefli, B.

“…A process-diagnostic approach is adopted to evaluate the model responses with in-situ data of streamflow and independent remotely sensed data of soil moisture from ESA-CCI and terrestrial water storage from GRACE. …”
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Multivariate and spatially calibrated hydrological model for assessing climate change impacts on hydrological processes in West Africa por Dembélé, M., Zwart, Sander J., Ceperley, N., Mariethoz, G., Schaefli, B.

“…This study analysis the future evolution of the spatiotemporal dynamics of multiple hydrological processes (i.e. streamflow, soil moisture, evaporation and terrestrial water storage) with the fully distributed mesoscale hydrologic Model (mHM), which is constrained with a novel multivariate calibration approach based on the spatial patterns of satellite remote sensing data (Dembélé et al., 2020). The experiment is done in the large and transboundary Volta River Basin (VRB) in West Africa, which is a hotspot of climate vulnerability. …”
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A framework for assessing the effects of shock events on livestock and environment in sub-Saharan Africa: The COVID-19 pandemic in northern Kenya por Graham, Michael, Chelanga, Philemon, Jensen, Nathaniel D., Leitner, Sonja, Fava, Francesco P., Merbold, Lutz

“…METHODS: We evaluated changes in GHG emissions from livestock systems in Northern Kenya due to the COVID-19 pandemic based on proxy data from crowd-sourced market data, household panel surveys, and remote sensing data on Normalized Difference Vegetation Index (NDVI). …”
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Multiple factors influence the consistency of cropland datasets in Africa por Wei, Yanbing, Lu, Miao, Wu, Wenbin, Ru, Yating

“…Over the past decades, a series of African cropland maps have been derived from remotely-sensed data, existing comparison studies have shown that inconsistencies with statistics and discrepancies among these products are considerable. …”
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The ability of sun-induced chlorophyll fluorescence from OCO-2 and MODIS-EVI to monitor spatial variations of soybean and maize yields in the Midwestern USA por Gao, Yun, Wang, Songhan, Guan, Kaiyu, Wolanin, Aleksandra, You, Liangzhi, Ju, Weimin, Zhang, Yongguang

“…The framework of this study could be applied to different regions and other types of crops to employ deep learning for crop yield forecasting by combining different types of remote sensing data (such as OCO-2 SIF and MODIS EVI) and climate data.…”
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Enhancing transboundary flood forecasting for early warnings in the Gash River Basin por Amarnath, Giriraj, Alahacoon, Niranga, Gismalla, Y., Mohammed, Y., Sharma, Bharat R., Smakhtin, Vladimir

“…In this chapter we briefly present the potential application of satellite-based rainfall estimates and develop a flood forecasting model for the Gash River Basin, Sudan, through a distributed modeling approach using remote sensing data. The approach includes rainfall-runoff modeling, hydrodynamic flow routing, and calibration and validation of the model with field discharge data. …”
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Estimation of Glacier Outline and Volume Changes in the Vilcanota Range Snow-Capped Mountains, Peru, Using Temporal Series of Landsat and a Combination of Satellite Radar and Aeria... por Montoya-Jara, N., Loayza, H., Gutiérrez-Rosales, R.O., Bueno, M., Quiroz, R.

“…In general, it was possible to establish a reduction in both the area and volume of the Suyuparina and Quisoquipina glaciers based on freely accessible remote sensing data.…”
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Increasing Early Warning Lead Time Through Improved Transboundary Flood Forecasting in the Gash River Basin, Horn of Africa por Amarnath, Giriraj, Alahacoon, Niranga, Gismalla, Y., Mohammed, Y., Sharma, Bharat R., Smakhtin, Vladimir U.

“…In this chapter, we briefly present the potential application of satellite-based rainfall estimates, and develop a flood forecasting model for the Gash River Basin, Sudan, through a distributed modeling approach using remote sensing data. The approach includes rainfall-runoff modeling, hydrodynamic flow routing, and calibration and validation of the model with field discharge data. …”
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Using smart ICT to provide weather and water information to smallholders in Africa: the case of the Gash River Basin, Sudan por Amarnath, Giriraj, Simons, G.W.H., Alahacoon, Niranga, Smakhtin, Vladimir U., Sharma, Bharat R., Gismalla, Y., Mohammed, Y., Andriessen, M.C.M.

“…Finally, the work demonstrates the high potential of combining technology, namely remote sensing data and simple a agro-meteorological model with limited parameters, for large-scale monitoring of spate irrigation systems and information sharing to advise farmers as to how to apply this information to their managerial decisions.…”
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Archetypal temporal dynamics of arid and semi-arid rangelands por Bruzzone, Octavio Augusto, Easdale, Marcos Horacio

“…In pursuance of this task, remote sensing data provide valuable information to classify and describe functional features of ecosystems across scales. …”
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A common framework to model recovery in disturbed tropical forests por Maurent, Eliott, Delgado, Diego, Finegan, Bryan, Ngo-Bieng, Marie Ange, y otros 5 autores más

“…Testing this framework with various monitoring tools to estimate disturbance intensity and model vegetation attribute recovery, i.e., with forest monitoring or remote sensing data, will be the next step to make it widely applicable.…”
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Multi-scale topography assessment for site-specific drought management in Sweden por Knaebel, Karl

“…The data required to conduct this study was publicly available and consisted of a highresolution digital elevation model, Sentinel-2 remote sensing data, weather data, field polygon as well as soil texture data. …”
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Mapping of intact forest landscapes in Sweden according to Global forest watch methodology por Hájek, Filip

“…Previous works about mapping virgin forests in Sweden and related studies dealing with remotely sensed data are mentioned. The essence of the study focuses on the detailed description of the methodology (GIS in combination with the interpretation of satellite data) and the material used to create the map of intact forest landscapes in Sweden. …”
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Pampas fox spatial and temporal variation in Argentinean agroecosystems por Gorosabel, Antonella, Barral, Maria Paula, Bernad, Lucía, Muñoz, Sebastián Darío, Bernardos, Jaime Nicolás, Pedrana, Julieta

“…We also obtained landscape, human-impact and environmental spatial variables using remote sensing data and Geographic Information Systems. We modelled and mapped the Pampas fox's spatial density using Density Surface Models. …”
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Exploring characteristics of national forest inventories for integration with global space-based forest biomass data por Nesha, Karimon, Herold, Martin, Sy, Veronique de, Bruin, Sytze de, Araza, Arnan, Málaga, Natalia, Gamarra, Javier G.P., Hergoualc'h, Kristell, Pekkarinen, Anssi, Ramírez, Carla, Morales Hidalgo, David, Tavani, Rebecca

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Mapping Above Ground Carbon Storage and Sequestration in Thoria Watershed, India: A Spatially Explicit Ecosystem Service Assessment Using InVEST Model por Guo, Zhe, Sharma, Himani, Jadav, Mahesh, Zhang, Wei

“…The ground truth data and remotely sensed data are used to calibrate the parameters of the model inputs. …”
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Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? Integrating machine learning multi-annual crop classification as a proxy of soil managem... por Bueno, M., Loayza, H., Ninanya, J., Rinza, J., Briceño, P., Silva, L., Mestanza, C., Otiniano, R., Kreuze, Jan F., Ramirez, D.

“…Crop rotation (CR) was incorporated into a modeling exercise using remote sensing data, fieldwork, and farmer surveys. A multi-year classification model with seven cropland classes was developed using data collected from 534 fields across 2022-2024, including 189 soil samples. …”
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