Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 269, P. 112831 - 112831

Published: Dec. 10, 2021

Monitoring agricultural systems becomes increasingly important in the context of global challenges like climate change, biodiversity loss, population growth, and rising demand for products. High-resolution, national-scale maps land are needed to develop strategies future sustainable agriculture. However, characterization cover over large areas multiple years remains challenging due locally diverse temporally variable characteristics cultivated land. We here propose a workflow generating national on yearly basis that accounts varying environmental conditions. tested approach by mapping 24 classes Germany three 2017, 2018, 2019, which meteorological conditions strongly differed. used random forest classifier dense time series data from Sentinel-2 Landsat 8 combination with monthly Sentinel-1 composites evaluated relative importance optical, radar, data. Our results show high overall accuracy plausible class accuracies most dominant crop types across different despite strong inter-annual variability presence drought non-drought years. The spatial consistency good delineation field parcels. Combining SAR, increased 6% 10% compared single sensor approaches, optical outperformed SAR. Overall ranged between 78% 80%, mapped aligned well statistics at regional level. Based multi-year dataset we major sequences cereals leaf crops. Most were dominated winter followed summer cereals. Monocultures mainly revealed Northwest Germany. showcased thematic detail annual will stimulate research cycles studies assess impact policies management decisions. demonstrate capabilities integrated SAR variables describing local seasonal large-area type mapping.

Language: Английский

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Complex agricultural landscapes host more biodiversity than simple ones: A global meta-analysis

Proceedings of the National Academy of Sciences, Journal Year: 2022, Volume and Issue: 119(38)

Published: Sept. 12, 2022

Managing agricultural landscapes to support biodiversity conservation requires profound structural changes worldwide. Often, discussions are centered on management at the field level. However, a wide and growing body of evidence calls for zooming out targeting policies, research, interventions landscape level halt reverse decline in biodiversity, increase biodiversity-mediated ecosystem services landscapes, improve resilience adaptability these ecosystems. We conducted most comprehensive assessment date complexity effects nondomesticated terrestrial through meta-analysis 1,134 effect sizes from 157 peer-reviewed articles. Increasing composition, configuration, or heterogeneity significatively positively affects biodiversity. More complex host more (richness, abundance, evenness) with potential benefits sustainable production conservation, likely underestimated. The few articles that assessed combined contribution linear (e.g., hedgerows) areal woodlots) elements resulted near-doubling (i.e., level) compared dominant number studies measuring separately. Similarly, positive stronger monitoring least 2 y 1-y efforts. Besides, exist when occurs nonoverlapping highlighting need long-term robustly designed Living harmony nature will require shifting paradigms toward valuing promoting multifunctional agriculture farm levels research agenda untangles landscapes’ contributions people under current future conditions.

Language: Английский

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Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2023, Volume and Issue: 16, P. 1576 - 1588

Published: Jan. 1, 2023

Developments in space-based hyperspectral sensors, advanced remote sensing, and machine learning can help crop yield measurement, modelling, prediction, monitoring for loss prevention global food security. However, precise continuous spectral signatures, important large-area growth early prediction of production with cutting-edge algorithms, be only provided via imaging. Therefore, this article used new-generation Deutsches Zentrum für Luft- und Raumfahrt Earth Sensing Imaging Spectrometer (DESIS) images to classify the main types (hybrid corn, soybean, sunflower, winter wheat) Mezőhegyes (southeastern Hungary). A Wavelet-attention convolutional neural network (WA-CNN), random forest support vector (SVM) algorithms were utilized automatically map crops over agricultural lands. The best accuracy was achieved WA-CNN, a feature-based deep algorithm combination two overall (OA) value 97.89% user's producer's from 97% 99%. To obtain this, first, factor analysis introduced decrease size image data cube. wavelet transform applied extract features combined attention mechanism CNN gain higher mapping types. Followed by SVM reported OA 87.79%, accuracies its classes ranging 79.62% 96.48% 79.63% 95.73%, respectively. These results demonstrate potentiality DESIS observe different predict harvest volume, which is crucial farmers, smallholders, decision-makers.

Language: Английский

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Comparison of organic and conventional cropping systems: A systematic review of life cycle assessment studies

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 102, P. 107187 - 107187

Published: June 27, 2023

Current agricultural practices are increasingly considered to be unsustainable, causing serious threats the environment. To meet international and European sustainability goals, transition sustainable agriculture is pivotal ways achieve it currently under discussion. Conventional systems typically highly productive, ensuring high yields for feeding a growing global population, but with significant environmental costs. Contrarily, organic perceived as farming option, however, often criticized achieving lower yields, so that when this factor taken into account, its advantages questioned. compare performance of different cropping system, life cycle assessment (LCA) has been applied over time. The present work aims at systematically reviewing LCA studies consistently assess impacts conventional crop systems, enabling understanding management including broad spectrum (15 indicators in total). systematic review, complemented meta-analysis, resulted selection analysis 77 pairwise comparative studies. These perform comparison between two cultivation (i.e. conventional) specific or group crops, cultivated similar pedoclimatic conditions both show consistency main methodological choices. Independently from functional unit adopted (mass land-based) despite overall better than ones. results valid majority assessed (climate change, ozone depletion, ecotoxicity, human toxicity, acidification, eutrophication, use resources, water, energy). Certain classes organically cultivated, although exception exists within same class (e.g. trend fruit not apples). Fertilisation process responsible most playing key role also together activities linked machinery field operations. heterogeneity modelling approaches encountered makes difficult definition trends challenging. Modelling differences were found regarding choice inventory models estimate emissions, inclusion exclusion certain processes flows inventory, impact categories. In addition, aspects such soil quality, biodiversity water still poorly investigated.

Language: Английский

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Crop and landscape heterogeneity increase biodiversity in agricultural landscapes: A global review and meta‐analysis

Ecology Letters, Journal Year: 2024, Volume and Issue: 27(3)

Published: March 1, 2024

Abstract Agricultural intensification not only increases food production but also drives widespread biodiversity decline. Increasing landscape heterogeneity has been suggested to increase across habitats, while increasing crop may support within agroecosystems. These spatial effects can be partitioned into compositional (land‐cover type diversity) and configurational arrangement), measured either for the mosaic or both crops semi‐natural habitats. However, studies have reported mixed responses of in these components taxa contexts. Our meta‐analysis covering 6397 fields 122 conducted Asia, Europe, North South America reveals consistently positive heterogeneity, as well plant, invertebrate, vertebrate, pollinator predator biodiversity. Vertebrates plants benefit more from invertebrates derive similar benefits heterogeneity. Pollinators predators favour are consistent vertebrates tropical/subtropical temperate agroecosystems, annual perennial cropping systems, at small large scales. results suggest that promoting increased by diversifying current UN Decade on Ecosystem Restoration, is key restoring agricultural landscapes.

Language: Английский

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Joint environmental and social benefits from diversified agriculture

Science, Journal Year: 2024, Volume and Issue: 384(6691), P. 87 - 93

Published: April 4, 2024

Agricultural simplification continues to expand at the expense of more diverse forms agriculture. This simplification, for example, in form intensively managed monocultures, poses a risk keeping world within safe and just Earth system boundaries. Here, we estimated how agricultural diversification simultaneously affects social environmental outcomes. Drawing from 24 studies 11 countries across 2655 farms, show five strategies focusing on livestock, crops, soils, noncrop plantings, water conservation benefit (e.g., human well-being, yields, food security) biodiversity, ecosystem services, reduced externalities) We found that applying multiple creates positive outcomes than individual management alone. To realize these benefits, well-designed policies are needed incentivize adoption unison.

Language: Английский

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A just world on a safe planet: a Lancet Planetary Health–Earth Commission report on Earth-system boundaries, translations, and transformations

The Lancet Planetary Health, Journal Year: 2024, Volume and Issue: 8(10), P. e813 - e873

Published: Sept. 12, 2024

Language: Английский

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Securing Nature’s Contributions to People requires at least 20%–25% (semi-)natural habitat in human-modified landscapes

One Earth, Journal Year: 2024, Volume and Issue: 7(1), P. 59 - 71

Published: Jan. 1, 2024

The cascading effects of biodiversity decline on human well-being present a pressing challenge for sustainable development. Conservation efforts often prioritize safeguarding specific species, habitats, or intact ecosystems but overlook biodiversity's fundamental role in providing Nature's Contributions to People (NCP) human-modified landscapes. Here, we systematically review 154 peer-reviewed studies estimate the minimum levels (semi-)natural habitat quantity, quality, and spatial configuration needed landscapes secure functional integrity essential sustaining NCP provision. We find that provision multiple is threatened when landscape falls below an area 20%–25% each km2. Five almost completely disappear level 10% habitat. exact required depends local context NCP. Today, about two-thirds lands have insufficient habitat, requiring action regeneration. Our findings serve as generic guideline target conservation actions outside natural areas.

Language: Английский

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Landscape management can foster pollinator richness in fragmented high-value habitats

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2025, Volume and Issue: 292(2040)

Published: Feb. 1, 2025

Pollinator diversity is declining due to habitat loss, low quality, limited connectivity and intensification of agriculture in remaining high-value habitats within human-dominated landscapes, such as calcareous grasslands. Options increase the local area protected are often limited. Therefore, we asked how quality well agri-environmental schemes (AES) configuration surrounding landscape can contribute preservation pollinator diversity. We sampled bees, butterflies hoverflies 40 grasslands Germany, assessed effects grassland area, connectivity, agricultural configuration, AES on species richness abundance. While was an important predictor for bee butterfly richness, with strongest sizes endangered species, flower resources nesting sites characteristics small field size, high proportion organic fields other significantly enhanced responses differing among three studied taxa. In contrast expectations, flowering did not benefit communities conclude that improving combination targeted management effective measures promote highly fragmented grassland.

Language: Английский

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Diversification for enhanced food systems resilience

Nature Food, Journal Year: 2021, Volume and Issue: 2(11), P. 832 - 834

Published: Nov. 9, 2021

Language: Английский

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