Results 71 to 80 of about 17,564 (297)

Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data

International Journal of Applied Earth Observations and Geoinformation, 2020
Vegetation phenology is a sensitive indicator that reflects the vegetation–atmosphere interactions and vegetation processes under global atmospheric changes.
Qinchuan Xin, Jing Li, Ziming Li, Yaoming Li, Xuewen Zhou   +4 more
doaj   +1 more source

Post-fire vegetation phenology in Siberian burn scars [PDF]

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Boreal forests comprise one third of global forested area and are the largest terrestrial carbon store. Forest fires are the regions most dynamic disturbance factor, occurring mainly in Siberia, Russian Far East, Canada and Alaska, and these fires represent a globally important release of terrestrial carbon to the atmosphere, via the burning of ...
Heiko Balzter, María Cuevas-González, France Gerard 0001, David Riaño 0002   +3 more
openaire   +3 more sources

Evaluating Reference Evapotranspiration (ETo) Calculation Methods and Quantifying Climate‐Driven Change in Irrigation Demand Across Nepal's Terai

International Journal of Climatology, EarlyView.
Framework illustrating the comparison of different reference evapotranspiration (ETo) estimation methods and the integration of baseline ETo, crop water requirement (CWR), and irrigation water requirement (IWR) calculations with downscaled CMIP6 climate projections under SSP245 and SSP585 scenarios for the mid‐century and late‐century periods across ...
Umesh Kumar Sujakhu, Rajesh Khatakho, Naresh Suwal, Ayush Poudel   +3 more
wiley   +1 more source

Hyperspectral Applications to Landscape Phenology

, 2022
Phenology is the study of annual recurring biological life cycle events and the drivers and controls of their periodicity. Shifts in phenology depict a plant's integrated response to climate and environmental changes and have become an important source ...
Koedsin, W, Wu, J, Huete, A
core   +1 more source

Effects of deficit irrigation and biostimulants on melon productivity and quality in semi‐arid conditions

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Water scarcity and soil salinization are major constraints to irrigated agriculture in semi‐arid regions, affecting crop productivity and fruit quality. Combining deficit irrigation with biostimulant application has emerged as a promising strategy to improve water use efficiency and plant stress tolerance.
Jefferson dos Santos Gomes Calaça, Jean Carlos Nogueira, José Raliuson Inácio Silva, Denizard Oresca, Alan Cezar Bezerra, Raquele Mendes de Lira, George do Nascimento Araújo Júnior, Luiz Guilherme Medeiros Pessoa, Agda Raiany Mota dos Santos, Sidney Antônio da Silva, Guilherme Heverton Lima e Silva, Douglas Nogueira Lima, Eduardo Soares de Souza   +12 more
wiley   +1 more source

The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method

, 2019
Crop phenology is an important parameter for crop growth monitoring, yield prediction, and growth simulation. The dynamic threshold method is widely used to retrieve vegetation phenology from remotely sensed vegetation index time series.
Clement Atzberger, Jianhong Liu, Wenquan Zhu, Xin Huang, Qiufeng Liu   +4 more
core   +1 more source

The elephant underground: Belowground plant traits and their increasing importance in ecological studies

The Bulletin of the Ecological Society of America, EarlyView.
Jacqueline P. Ott, Jitka Klimešová, Luke McCormack, S. Joseph Tumber‐Dávila   +3 more
wiley   +1 more source

Physiological dominance of the scion in shaping root architecture under suboptimal temperature

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Non‐optimal temperatures have become a major constraint on plant development under rapidly changing climatic conditions. Both suboptimal and supra‐optimal temperatures reduce physiological activity, alter plant morphology, lead to plant mortality, and ultimately decrease crop productivity.
Amnon Cochavi, Elad Oren, Fabian Baumkoler, Evgeny Smirnov, Ran Nisim Lati   +4 more
wiley   +1 more source

Embedded physical constraints in machine learning to enhance vegetation phenology prediction

GIScience & Remote Sensing
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
doaj   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source