Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0

Applied Sciences, Год журнала: 2021, Номер 11(13), С. 5911 - 5911

Опубликована: Июнь 25, 2021

Timely and reliable information about crop management, production, yield is considered of great utility by stakeholders (e.g., national international authorities, farmers, commercial units, etc.) to ensure food safety security. By 2050, according Food Agriculture Organization (FAO) estimates, around 70% more production agricultural products will be needed fulfil the demands world population. Likewise, meet Sustainable Development Goals (SDGs), especially second goal “zero hunger”, potential technologies like remote sensing (RS) need efficiently integrated into agriculture. The application RS indispensable today for a highly productive sustainable Therefore, present study draws general overview technology with special focus on principal platforms this technology, i.e., satellites remotely piloted aircrafts (RPAs), sensors used, in relation 5th industrial revolution. Nevertheless, since 1957, has found applications, through use satellite imagery, agriculture, which was later enriched incorporation further pushing boundaries proficiency upgrading capable higher spectral, spatial, temporal resolutions. More prominently, wireless sensor (WST) have streamlined real time acquisition programming respective measures. Improved algorithms can, not only add significant value data acquisition, but can also devise simulations yield, harvesting irrigation periods, metrological data, etc., making cloud computing. generates huge sets that necessitate artificial intelligence (AI) big extract useful products, thereby augmenting adeptness efficiency agriculture its sustainability. These made orientation current research towards estimation plant physiological traits rather than structural parameters possible. Futuristic approaches benefiting from these cutting-edge are discussed study. This helpful researchers, academics, young students aspiring play role achievement

Язык: Английский

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Remote sensing of phenology: Towards the comprehensive indicators of plant community dynamics from species to regional scales

Journal of Ecology, Год журнала: 2022, Номер 110(7), С. 1460 - 1484

Опубликована: Апрель 22, 2022

Abstract Remote sensing of vegetation phenology has long been used to characterize ecosystem functions and responses climate at spatial temporal scales unfeasible field surveys. However, the potential remote elucidate mechanistic drivers underlying plant community processes such remains under‐discussed. This review synthesizes possibilities advance this knowledge using multi‐temporal discusses remaining challenges progress in instruments analytical tools. Recent evidence indicates that, besides documenting seasonality climate, can help meet emerging needs for indicators diversity, structure change. Responses phenological metrics stressors over large, heterogeneous regions may provide clues on ecological resilience manifested asynchronies, recovery cycles stable microrefugia. At same time, important barriers persist relation choosing among estimation methods paradigms, characterizing events beyond changes photosynthetically active biomass, interpretation patterns. Synthesis . Increasing frequency products, opportunities multi‐sensor data fusion, advances historically less available hyperspectral, microwave lidar promise navigate these enable more comprehensive assessments seasonality. Progress customizable local platforms as unoccupied aerial vehicles phenocams further enrich ground‐level understanding validate satellite‐based assessments. analyses alone are insufficient phenology, which be challenged by artefacts sensitivity estimated landscape resolution inputs. Robust informative call rigorous collaborations with studies, strategic selection ancillary environmental geographic data, wider adoption causal inference approaches address support novel explorations ecology.

Язык: Английский

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Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite phenological metrics

Forest Ecology and Management, Год журнала: 2020, Номер 480, С. 118663 - 118663

Опубликована: Окт. 12, 2020

Язык: Английский

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Adaptive genetic variation to drought in a widely distributed conifer suggests a potential for increasing forest resilience in a drying climate

New Phytologist, Год журнала: 2020, Номер 227(2), С. 427 - 439

Опубликована: Март 16, 2020

Drought intensity and frequency are increasing under global warming, with soil water availability now being a major factor limiting tree growth in circumboreal forests. Still, the adaptive capacity of trees face future climatic regimes remains poorly documented. Using 1481 annually resolved tree-ring series from 29-yr-old trees, we evaluated drought sensitivity 43 white spruce (Picea glauca (Moench) Voss) populations established common garden experiment. We show that genetic variation among response to plays significant role resilience. Local adaptation allowed drier geographical origins grow better, as indicated by higher resilience extreme events, compared more humid origins. The substantial found for highlights possibility selecting boreal conifers. As research outcome, showed changing local conditions can shape vulnerability at intraspecific level. Our findings have wide implications forest ecosystem management conservation.

Язык: Английский

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Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing—A Systematic Review. Part I: A General Framework

Forests, Год журнала: 2021, Номер 12(3), С. 327 - 327

Опубликована: Март 11, 2021

Natural, semi-natural, and planted forests are a key asset worldwide, providing broad range of positive externalities. For sustainable forest planning management, remote sensing (RS) platforms rapidly going mainstream. In framework where scientific production is growing exponentially, systematic analysis unmanned aerial vehicle (UAV)-based forestry research papers paramount importance to understand trends, overlaps gaps. The present review organized into two parts (Part I Part II). II inspects specific technical issues regarding the application UAV-RS in forestry, together with pros cons different UAV solutions activities additional effort needed, such as technology transfer. systematically analyzes discusses general aspects applying natural, semi-natural artificial ecosystems recent peer-reviewed literature (2018–mid-2020). goals threefold: (i) create carefully selected bibliographic dataset that other researchers can draw on for their works; (ii) analyze trends RS monitoring (iii) reveal gaps an activity needed. Through double-step filtering items found Web Science search engine, study gathers comprehensive (226 articles). Papers have been categorized six main topics, relevant information has subsequently extracted. strong points emerging from this concern wide topics sector particular retrieval tree inventory parameters often through Digital Aerial Photogrammetry (DAP), RGB sensors, machine learning techniques. Nevertheless, challenges still exist promotion world, mostly tropical equatorial forests. Much required full exploitation hyperspectral sensors long-term monitoring.

Язык: Английский

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Recent Advances in Unmanned Aerial Vehicles Forest Remote Sensing—A Systematic Review. Part II: Research Applications

Forests, Год журнала: 2021, Номер 12(4), С. 397 - 397

Опубликована: Март 27, 2021

Forest sustainable management aims to maintain the income of woody goods for companies, together with preserving non-productive functions as a benefit community. Due progress in platforms and sensors opening dedicated market, unmanned aerial vehicle–remote sensing (UAV–RS) is improving its key role forestry sector tool management. The use UAV (Unmanned Aerial Vehicle) precision has exponentially increased recent years, demonstrated by more than 600 references published from 2018 until mid-2020 that were found Web Science database searching “UAV” + “forest”. This result even surprising when compared similar research “agriculture”, which emerge about 470 references. shows how UAV–RS gaining increasing popularity. In Part II this review, analyzing main findings reviewed papers (227), numerous strengths concerning technical issues. fully applicated obtaining accurate information practical parameters (height, diameter at breast height (DBH), biomass). Research effectiveness soundness demonstrate now ready be applied real context. Some critical issues barriers transferring products are also evident, namely, (1) hyperspectral poorly used, their novel applications should based on capability acquiring tree spectral signature especially pest diseases detection, (2) automatic processes image analysis flexible or proprietary software expense open-source tools can foster researcher activities support technology transfer among all stakeholders, (3) clear lack exist interoperability large-scale enabling data interoperability.

Язык: Английский

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Advances in optical phenotyping of cereal crops

Trends in Plant Science, Год журнала: 2021, Номер 27(2), С. 191 - 208

Опубликована: Авг. 17, 2021

Язык: Английский

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Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data

Remote Sensing in Ecology and Conservation, Год журнала: 2020, Номер 7(2), С. 227 - 244

Опубликована: Ноя. 21, 2020

Abstract Quantifying the timing of vegetation phenology is critical for monitoring and modelling ecosystem responses to environmental change. Phenological processes have been studied from landscape global scales using Earth observing satellite data, at local scale by in situ surveys individual plants. Now, data acquired multi‐spectral sensors on drone platforms provide flexible opportunities plants small efficiently, allowing community species level information be derived. We captured a time‐series drone‐acquired normalized difference index (NDVI) with sensor (Parrot Sequoia, (Parrot, France)) over highly heterogeneous Cornwall, UK, during period spring green‐up. monitored NDVI trajectories crown species’ level. For deciduous crowns, we derived metrics representative phenological stages: Start‐of‐spring (SOS), middle‐of‐spring green‐up (MOG) start‐of‐peak greenness (SOP) logistic function. While exact SOS, MOG SOP appeared susceptible understorey effects saturation NDVI, relative subset was plausible relation observations an extended geographic region plant area (PAI) measurements. In evergreen ( Pinus spp.) subtle changes were also detected through growing season. The impact illumination differences analysed image pairs leaf‐off leaf‐on conditions. significant, these (mean absolute deviation up 0.034 leaf‐off, 0.013 conditions), meaning that under both constant direct diffuse irradiance conditions can used together cloudy should not lead gaps. conclude capability drone‐mounted instruments spatio‐temporal characterization crown‐level shows great promise improving understanding intra‐ inter‐species strategy, offers efficient means doing so areas few hectares.

Язык: Английский

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Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites

Environmental Research Letters, Год журнала: 2020, Номер 15(12), С. 125002 - 125002

Опубликована: Ноя. 24, 2020

Data across scales are required to monitor ecosystem responses rapid warming in the Arctic and interpret tundra greening trends. Here, we tested correspondence among satellite- drone-derived seasonal change greenness identify optimal spatial for vegetation monitoring on Qikiqtaruk—Herschel Island Yukon Territory, Canada. We combined time-series of Normalised Difference Vegetation Index (NDVI) from multispectral drone imagery satellite data (Sentinel-2, Landsat 8 MODIS) with ground-based observations two growing seasons (2016 2017). found high cross-season plot mean (drone-satellite Spearman's ρ 0.67–0.87) pixel-by-pixel R2 0.58–0.69) eight one-hectare plots, drones capturing lower NDVI values relative satellites. identified a plateau variation at distances around half metre suggesting that these grain sizes such most common types island. further observed notable loss heterogeneity landscape (46.2%–63.9%) when aggregating ultra-fine-grain pixels (approx. 0.05 m) size medium-grain (10–30 m). Finally, changes were highly correlated measurements leaf-growth ground-validation plots (mean 0.70). These findings indicate can capture temporal plant growth dynamics landscapes. Overall, our results demonstrate novel technologies as platforms compact sensors allow us study ecological systems previously inaccessible fill gaps understanding processes. Capturing fine-scale landscapes will improve predictions impacts climate feedbacks environmental Arctic.

Язык: Английский

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Remotely Piloted Aircraft (RPA) in Agriculture: A Pursuit of Sustainability

Agronomy, Год журнала: 2020, Номер 11(1), С. 7 - 7

Опубликована: Дек. 23, 2020

The current COVID-19 global pandemic has amplified the pressure on agriculture sector, inciting need for sustainable more than ever. Thus, in this review, a perspective of use remotely piloted aircraft (RPA) or drone technology sector is discussed. Similarly, types cameras (multispectral, thermal, and visible), sensors, software, platforms frequently deployed ensuring precision crop monitoring, disease detection, even yield estimation are briefly discoursed. In regard, vegetation indices (VIs) embrace an imperative prominence as they provide vital information monitoring decision-making, thus summary most commonly used VIs also furnished serves guide while planning to collect specific data. Furthermore, establishment significant applications RPAs livestock, forestry, surveillance, irrigation, soil analysis, fertilization, harvest, weed management, mechanical pollination, insurance tree plantation cited light currently available literature domain. RPA efficiency, cost limitations considered based previous studies that may help devise policies, adoption, investment, research activities sphere.

Язык: Английский

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