Results 61 to 70 of about 10,373 (187)
Embedded physical constraints in machine learning to enhance vegetation phenology prediction
Vegetation phenology plays a pivotal role in ecological processes on terrestrial surfaces and the interactions between the biosphere and atmospheric feedback. Current attempts to retrieve vegetation phenology have primarily depended on vegetation indices
Mengying Cao, Qihao Weng
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ABSTRACT This study evaluated the growth, forage production, soil water balance, water indices, biological efficiency and competitive capacity of forage cactus and maize in monoculture and intercropping, with or without mulch. The experiment was conducted in Serra Talhada, Pernambuco, Brazil, using the cactus clone ‘Orelha de Elefante Mexicana’ (OEM ...
Kaique Renan da Silva Salvador +13 more
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Vegetation serves as an indicator of ecological change, and phenology is an important indicator for evaluating vegetation growth and development. Analyzing the spatiotemporal characteristics of vegetation phenology and its driving factors is of great ...
Jiahui Yao, Haiyong Ding
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Remote-sensing phenology detection can compensate for deficiencies in field observations and has the advantage of capturing the continuous expression of phenology on a large scale.
Cong Wang +5 more
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The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio +12 more
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Estuarine coastal wetland are vulnerable zones of the Earth’s ecosphere, and hygrophilous vegetation responds sensitively to climate change. Vegetation phenology is a key component of global climate change research.
Ruyun Liu +9 more
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Vegetation phenology is highly sensitive to climate change, and an examination of vegetation phenology across diverse climatic conditions is crucial for identifying key factors influencing vegetation dynamics.
Yutong Liang +5 more
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Compound hot‐dry events occurring during the maize growing period are increasing significantly (p < 0.05) with time, with the median values ranging from 93 to 120 days. El Niño Southern Oscillation (ENSO) influences the variability of compound hot‐dry events with high significance (p < 0.05) positive Pearson correlation.
Mokhele Moeletsi, Mitsuru Tsubo
wiley +1 more source
Plant phenology is often used as an indicator of ecological processes and responses to changing environmental conditions. Remote sensing enables phenological monitoring across space and time, yet separating vegetation composition or environmental drivers
Javier Lopatin +2 more
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Abstract BACKGROUND Sweet cherry (Prunus avium L.) is a high‐value fruit crop, but its commercial success is often limited by poor pigmentation, reduced firmness, and short shelf life. This study evaluated the effects of preharvest applications of prohexadione‐calcium (1.5 L ha−1) on fruit quality and storage performance in lowland and hilly orchards ...
Alice Varaldo +3 more
wiley +1 more source

