Search Results - Sense data.

Water rights: Importance, difficulties, and new approaches to data collection and analysis by Perry, C.J., Kite, G.W.

Subjects: “…data collection…”
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Evaluation of bias correction method for satellite-based rainfall data by Bhatti, H.A., Rientjes, T.H.M., Haile, Alemseged Tamiru, Habib, E., Verhoef, W.

“…With the advances in remote sensing technology, satellite-based rainfall estimates are gaining attraction in the eld of hydrology, particularly in rainfall-runoff modeling. …”
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Assessing the prospects of remote sensing maize leaf area index using UAV-derived multi-spectral data in smallholder farms across the growing season by Buthelezi, S., Mutanga, O., Sibanda, M., Odindi, J., Clulow, A.D., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

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Using Remote Sensing Data in the Cloud to Monitor Climate Change in Senegal Regions Based on Seasonal Variables from 2000 to 2020.... by Alvarez, Cesar Ivan, Govind, Ajit

“…By evaluating correlations between vegetation, using NDVI, land surface temperature (LST), mean temperature, and precipitation from remote sensing data collected over the last 20 years (2000 to 2020) through Google Earth Engine, we have discovered a high negative correlation between NDVI and LST, a high positive correlation between NDVI and precipitation, and the lowest correlation between NDVI and mean temperature. …”
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Application of a method of analysis of remote sensing data obtained by targeting the estimated productivity in cane for quantifying panela NDVI (normalized difference vegetation index) by Rueda Calier, Fabio, Peñaranda Mallungo, Luis Alfonso, Velásquez Vargas, Wilmer Leonardo, Díaz Báez, Sergio Antonio

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Characterizing Forest Change Using Community-Based Monitoring Data and Landsat Time Series by Vries, B. de, Pratihast, A.K., Verbesselt, Jan, Kooistra, L., Herold, Martin

Subjects: “…data collection…”
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Set of solutions using remote sensing and supervised learning to replace autoregressive integrated moving average models to forecast weather by CGIAR Research Program on Wheat

Subjects: “…remote sensing…”
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Feed balances for ruminant livestock: Gridded estimates for data constrained regions by Fraval, Simon, Mutua, John Y., Amole, Tunde A., Tolera, Adugna, Feyisa, Tesfaye, Thornton, Philip K., Notenbaert, An Maria Omer, Adesogan, Adegbola T., Balehegn, Mulubrhan, Ayantunde, Augustine A., Zampaligré, Nouhoun, Duncan, Alan J.

“…Feed availability was estimated using remotely sensed products and detailed feed composition data. …”
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Using Satellite Data to Estimate Cropped Area in Africa by Brown, Molly

Subjects: “…data…”
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Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya by Ceriani, R., Fava, F., Tagliabue, G., Leitner, Sonja, Panigada, C., Odongo, Vincent O., Vaglia, V., Mutuo, Paul M., Kinuthia, Kelvin, Heidarian, R., Fakherifard, K., Pepe, M.

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Evaluation of digital surface model data to improve forest biomass estimation from SPOT HRG by Hlaing, Myint

“…The study area covers approximately 7800 hectares and is characterized by boreal forest dominated by Norway spruce (Picea abies) and Scots pine (Pinus sylvestris). The remotely sensed data derived spectral bands and canopy heights (CHMs) were used to fit regression models and to perform cross validation at plot level to estimate aboveground biomass. …”

Integrating UAV and satellite LAI data into a modified DSSAT-rapeseed model to improve yield predictions by Wang, Chufeng, Ling, Lin, Kuai, Jie, Xie, Jing, Ma, Ni, You, Liangzhi, Batchelor, William D., Zhang, Jian

“…The DSSAT model was then modified to adjust leaf weight, leaf area, and leaf nitrogen content based on remotely sensed target LAI. Field investigations and UAV-derived LAI data from two years and two experimental stations were used to calibrate model parameters through a trial-and-error method, selecting the parameter set that minimized the error between model outputs (e.g., LAI and crop yield) and observations. …”
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Heritability of floral traits in Allium cepa L. populations from biparental crosses by Noguera Serrano, Soraya Paola, Gimenez, Magali Diana, Paz, Rosalia Cristina, Galmarini, Claudio Romulo

“…The evaluated traits exhibited high broad-sense heritability values (0.08–0.85), but moderate narrow-sense heritability values (0.01–0.68), implying that the observed phenotypic variance is mainly explained by genetic factors, with a minor additive genetic factors contribution. …”
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Estimating potential rattan cultivation area using Remote Sensing, GIS, and socio-economic data; a test of the method in the districts of Pasir and Kutai, East Kalimantan by Dewi, S., Puntodewo, A., Belcher, B.

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Analysis of the impact of land management options in tackling land degradation in sub-Saharan Africa example study based on long-term remote sensing and climate data by Le, Quang Bao, Sileshi, Gudeta W., Kizito, Fred, Bossio, Deborah A., Vlek, Paul L.G.

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Assessment and prediction of above-ground biomass in selectively logged forest concessions using field measurements and remote sensing data: Case study in South East Cameroon by Neba, G.A., Kanninen, M., Atyi, R.E., Sonwa, D.J.

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Assessing the spatial distribution of crop production using a generalized cross-entropy approach by You, Liangzhi, Wood, Stanley

Subjects: “…remote sensing…”
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Spatial mapping for climate resilient agri-food systems in the coastal zone of Bangladesh by Ali, A M M Mostafa, Rahman, Md. Mostafizur, Saha, Champa Rani, Nisha, Nusrath Jahan, Laborte, Alice G., Salahuddin, Ahmad

Subjects: “…spatial data…”
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Mapping irrigated and rainfed agriculture in Ethiopia (2015-2016) using remote sensing methods by Chandrasekharan, Kiran M., Subasinghe, Chandima, Haileslassie, Amare

Subjects: “…remote sensing…”
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A new two-decade (2001–2019) high-resolution agricultural primary productivity dataset for India by Gangopadhyay, Prasun K., Shirsath, Paresh B., Dadhwal, Vinay K., Aggarwal, Pramod K.

Subjects: “…data…”
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