Results 71 to 80 of about 7,082,475 (293)
Irrigation and Drainage, EarlyView.ABSTRACT Efficient water resource management is critical for sustainable agriculture, with evapotranspiration (ET) serving as a key parameter. Remote sensing (RS) techniques offer cost‐effective approaches for ET estimation and irrigation performance assessment in extensive agricultural systems.
Kivanç Hayri Doganay +1 more
wiley +1 more source
Using Remotely Sensed Data to Explore Spatial and Temporal Relationships Between Photosynthetic Productivity of Vegetation and Malaria Transmission Intensities in Selected Parts of Africa [PDF]
, 2011 Spatial and temporal variations in malaria transmission are naturally associated with prevailing climatic and environmental factors, for example rainfall, humidity, temperature and human activities.
Okumu, Fredros Oketch
core
Mapping of peanut crops in Queensland, Australia using time-series PROBA-V 100-m normalized difference vegetation index imagery [PDF]
, 2018 Mapping of peanut crops is essential in supporting peanut production, yield prediction, and commodity forecasting. While ground-based surveys can be used over small areas, the development of remote-sensing technologies could provide rapid and inexpensive
Apan, Armando +2 more
core +1 more source
International Journal of Climatology, EarlyView.This study investigated ENSO effects on rainfall variability and rangeland productivity across Limpopo Province, South Africa, using DMP and ONI data for 1999–2024. Productivity was higher in eastern and southern regions and lower in northern and western regions.
Phumzile Maluleke +2 more
wiley +1 more source
Pesquisa Agropecuária Tropical, 2016 Large farmland areas and the knowledge on the interaction between solar radiation and vegetation canopies have increased the use of data from orbital remote sensors in sugarcane monitoring.
Rodrigo Moura Pereira +4 more
doaj +1 more source
Normalized Difference Vegetation Index (NDVI) - Seasonal Standard Devitation - Switzerland
, 2020 This dataset is a seasonal standard deviation time-series of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Vegetation Index (NDVI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI).
Italiano, Julie +3 more
core +1 more source
International Journal of Climatology, EarlyView.This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das +2 more
wiley +1 more source
Shuitu baochi yanjiu, 2008 In this paper,the authors study the method of gaining the percentage vegetation cover information,the correlation between percentage of vegetation cover and normalized difference vegetation index（NDVI） in the south of Chongqing city,by TM data integrated
MA Chi1, LU Yu-dong1
doaj
Fire Recurrence and Normalized Difference Vegetation Index (NDVI) Dynamics in Brazilian Savanna [PDF]
Fire, 2018 Fire is one of the main modeling agents of savanna ecosystems, affecting their distribution, physiognomy and species diversity. Changes in the natural fire regime on savannas cause disturbances in the structural characteristics of vegetation. Theses disturbances can be effectively monitored by time series of remote sensing data in different terrestrial
openaire +1 more source
Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
, 2020 This dataset is an annual time-serie of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Vegetation Index (NDVI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI).
Italiano, Julie +3 more
core +1 more source