Resultados de búsqueda - Sense data.

On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models por Simons, G., Poortinga, A., Bastiaanssen, Wim G.M., Saah, D., Troy, D., Hunink, J., Klerk, M. de, Rutten, M., Cutter, P., Rebelo, Lisa-Maria, Ha, Lan Thanh, Hessels, T., Vu, P. N., Fenn, M., Bean, B., Ganz, D., Droogers, Peter, Erickson, T., Clinton, N.

Enlace del recurso

Deriving Similitudes from Remote Sensing-based Turbidity and Observed Salinity Trends in Coastal Bangladesh for Agricultural Development por Jampani, Mahesh, Matheswaran, Karthikeyan

“…Although salinity and turbidity are distinct water quality parameters, our findings suggest that satellite-derived turbidity can serve as a proxy indicator for seasonal salinity variation, particularly in the absence of salinity data. The analysis highlights the potential of remotely sensed turbidity as a decision-support tool for irrigation planning, particularly for farmers operating sluice gates to access low-salinity water in the polders. …”
Enlace del recurso

Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality por Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, El-Maghraby, Maher A., Elnashar, Abdelrazek, Ahmed, Mukhtar, Aboelsoud, Hesham, Mostafa, Rania, Feike, Til

“…This study aims to improve wheat yield prediction by integrating process-based models (PBM), machine learning (ML), and remote sensing (RS) techniques. Three Decision Support System for Agrotechnology Transfer (DSSAT) wheat models were calibrated and evaluated using field data from three wheat cultivars grown over three seasons in diverse environments. …”
Enlace del recurso

Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda por Odiit, M., Bessell, P.R., Fèvre, Eric M., Robinson, Timothy P., Kinoti, J., Coleman, P.G., Welburn, S.C., McDermott, John J., Woolhouse, Mark E.J.

“…Geographic information systems (GIS) and remote sensing were used to identify villages at high risk for sleeping sickness, as defined by reported incidence. …”
Enlace del recurso

Multi-Temporal Remote Sensing for Forest Conservation and Management: A Case Study of the Gran Chaco in Central Argentina por Alaggia, Francisco Guillermo, Innangi, Michele, Cavallero, Laura, Lopez, Dardo Ruben, Pontieri, Federica, Marzialetti, Flavio, Riera-Tatche, Ramon, Gamba, Paolo, Carranza, María Laura

“…This study integrates Sentinel-2 remote sensing (RS) spectral indices with field data to analyze forests under varying management regimes and levels of alteration in a representative area of the Chaco region (Chancaní Provincial Reserve and surrounding areas of theWest Arid Chaco). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

Evaluating the performance of multiple remote sensing indices to predict the spatial variability of ecosystem structure and functioning in Patagonian steppes por Gaitan, Juan Jose, Bran, Donaldo Eduardo, Oliva, Gabriel Esteban, Ciari, Georgina, Nakamatsu, Viviana Beatriz, Salomone, Jorge Manuel, Ferrante, Daniela, Buono, Gustavo Gabriel, Massara Paletto, Virginia, Humano, Gervasio, Celdran, Diego Javier, Opazo, Walter Javier, Maestre, Fernando Tomás

“…Approaches based on remote sensing data can successfully assess large areas, but it is largely unknown how the different indices that can be derived from such data relate to ground-based indicators of ecosystem health. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

Stakeholders’ Engagement Meeting for Developing “Remote sensing- based Information and Insurance for Crops in emerging Economies” (RIICE) in Kenya por Mathieu, Renaud, Satapathy, Sushree

“…Through its Work Package 4 “Real-Time Monitoring of Food Systems”, the CGIAR Research Initiative on Digital Innovation and Transformation seeks to improve real time monitoring of food system dynamics to inform multiple stakeholders who make time critical decisions to respond to variation and shocks, improve the flow of information for a better understanding of the food systems, and enhance digital data streams for improving decision making by food system actors. …”
Enlace del recurso

Spectral characterization and discrimination of sorghum (Sorghum bicolor (L.) Moench) cultivars for remote sensing-based phenotyping and selection por Chidoko, Pardon, Mhike, Xavier, Chemura, Abel, Manyanga, Munyaradzi

“…Remote sensing has immense potential for high throughput phenotyping of agronomic and physiological traits that can be used in the selection of elite lines for productivity and adaptability in crop breeding programs. …”
Enlace del recurso

Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing por Rey, Beatriz, Aleixos, Nuria, Cubero, Sergio, Blasco, José

“…The robot is remotely driven and fitted with different sensing equipment to capture thermal, spectral and structural information about the plants. …”
Enlace del recurso
Enlace del recurso

A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF) por Kira, Oz, Wen, Jiaming, Han, Jimei, McDonald, Andrew J., Barrett, Christopher B., Ortiz-Bobea, Ariel, Liu, Yanyan, You, Liangzhi, Mueller, Nathaniel D., Sun, Ying

“…By providing real-time and low-cost observations, satellite remote sensing has been widely employed to estimate crop yield across various scales. …”
Enlace del recurso

Towards spatially continuous mapping of soil organic carbon in croplands using multitemporal Sentinel-2 remote sensing por Shi, P., Six, Johan, Sila, A., Vanlauwe, Bernard, Oost, K. van

“…This study highlights the widespread applicability of multitemporal Sentinel-2 remote sensing for effective and high-resolution SOC mapping, in order to detect localized soil degradation as well as to inform regional cropland management in diverse agroecosystems.…”
Enlace del recurso

Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands por Zwick, Mike, Cardoso, Juan Andres, Gutiérrez-Zapata, Diana María, Cerón-Muñoz, Mario, Gutiérrez, Jhon Freddy, Raab, Christoph, Jonsson, Nicholas, Escobar, Miller, Roberts, Kenny, Barrett, Brian

“…The performance evaluation based on unseen test data revealed that CP and DM prediction performed moderately well for all three sites (R2 0.52 – 0.75, RMSE 1.7 – 2 % and R2 0.47 – 0.65, RMSE 182 – 112 g/m2 respectively). …”
Enlace del recurso

Förtolkat digitalt data till skogsägarplan por Lundgren, Erik

“…The purpose of this study is to investigate how to use remote sensing data when making a forest management plan. …”

Analys av data från flyglaserscanning por Björn, Johan

“…Both Bergvik and StoraEnso have great interest in new inventory techniques to get the important forest data. The company Foran Remote Sensing offers the opportunity with airborne laserscanning of forest and forest land. …”

Multi-temporal passive and active remote sensing for agricultural mapping and acreage estimation in context of small farm holds in Ethiopia por Mengesha, Tesfamariam Engida, Desta, Lulseged Tamene, Gamba, Paolo, Ayehu, Getachew Tesfaye

“…The findings demonstrate the remarkable potential of multi-source remotely sensed data in agricultural acreage estimation in small farm holdings. …”
Enlace del recurso

Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia por Leggesse, E.S., Zimale, Fasikaw A., Sultan, D., Enku, T., Srinivasan, R., Tilahun, Seifu A.

“…Thus, this study shows the possibility of monitoring water quality in large freshwater bodies with limited observed data using remote sensing integrated with ML algorithms, potentially enhancing decision making.…”
Enlace del recurso

Remote sensing and GIS modeling for selection of a benchmark research area in the inland valley agroecosytems of West and Central Africa por Thenkabail, Prasad S., Nolte, C., Lyon, J.

Enlace del recurso

Forest cover change analysis as a proxy: sustainability assessment using remote sensing and GIS in West Kalimantan, Indonesia por Dennis, R.A., Colfer, C.J.P., Puntodewo, A.

“…This study used a time series of remote sensing data from 1973, 1990 and 1994 to assess sustainability of forest use in three villages in West Kalimantan, Indonesia. …”
Enlace del recurso

Rice area-yield estimation based on the synergistic use of remote sensing time-series and crop growth modeling in Nigeria por Barbieri, Massimo, Quicho, Emma D., Ibrahim, Ali, Melchiori, Luca, Cattaneo, Alessandro, Gatti, Luca, Copa, Loris, Holecz, Francesco, Mathieu, Renaud, Saito, Kazuki, Senthilkumar, Kalimuthu

“…Context RIICE (Remote sensing-based Information and Insurance for Crops in Emerging Economies) technology, developed since 2010 by sarmap and the International Rice Research Institute, has proven effective in Southeast Asia for monitoring rice production using satellite data. …”
Enlace del recurso

Uncertainty and sensitivity analysis of a remote-sensing-based penman–monteith model to meteorological and land surface input variables por Majozi, Nobuhle, Mannaerts, Chris, Ramoelo, Abel, Mathieu, Renaud, Verhoef, Wouter

“…This study analysed the uncertainty and sensitivity of core and intermediate input variables of a remote-sensing-data-based Penman–Monteith (PM-Mu) evapotranspiration (ET) model. …”
Enlace del recurso