Mapping the Northern Limit of Double Cropping Using a Phenology-Based Algorithm and Google Earth Engine

Guo, Yan; Xia, Haoming; Pan, Li; Zhao, Xiaoyang; Li, Rumeng

doi:10.3390/rs14041004

Cited by 32 publications

(21 citation statements)

References 61 publications

(94 reference statements)

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“…According to the Intergovernmental Panel on Climate Change's (IPCC) sixth assessment report, the last 4 decades have been successively warmer than any decade that preceded them since 1850 (IPCC, 2021). The acceleration of climate warming has increased the frequency and intensity of meteorological disasters, severely impacting global food security and the environment (Zhou et al, 2019a;Zhou et al, 2019b;Guo et al, 2022;Zhao et al, 2022). Vegetation, which can be an indicator of global or regional climate change, plays an important role in terrestrial ecosystems (Piao et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations of Vegetation Net Primary Productivity and Its Response to Meteorological Factors Across the Yellow River Basin During the Period 1981–2020

Tian

Ji²,

Zhang

2022

Front. Environ. Sci.

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Based on trend analysis, partial correlation analysis, and Mann–Kendall test, we analyzed the spatiotemporal variations of net primary productivity (NPP) in the Yellow River Basin and their responses to meteorological factors during the period 1981–2020. The results revealed that NPP had high values in the mid-south part but low values in the northwestern part of the Yellow River Basin. The average NPP was 195.3 g C·m−2·a−1 from 1981 to 2020, and the inter-annual fluctuation of NPP showed a significant increasing trend with an increasing rate of 2.35 g C·m−2·a−2 (p < 0.01). The annual mean temperature showed a positive correlation with NPP in 99.6% of the basin, and 91.4% of which passed the 0.01 significant test. NPP and annual precipitation positively correlated in 87.1% of the basin, and 41.7% of which passed the 0.01 significant test. In 75.2% of the basin, NPP was related negatively with annual sunshine hours, and 17.6% of which of which passed the 0.01 significant test.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations of Vegetation Net Primary Productivity and Its Response to Meteorological Factors Across the Yellow River Basin During the Period 1981–2020

Tian

Ji²,

Zhang

2022

Front. Environ. Sci.

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“…Information technology is growing rapidly, more and more Web GIS platforms are being established. In addition, a large number of update online geographic databases also provide convenience for geography teaching, mapping, and curriculum resource development, such as Google Earth Engine [46,47]. Geography teachers can use more Web GIS tools in the process of information teaching and research.…”

Section: Discussionmentioning

confidence: 99%

Web GIS for Sustainable Education: Towards Natural Disaster Education for High School Students

Xia

Qin

et al. 2022

Sustainability

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The rapid development of the web geographic information system (Web GIS) has promoted new vitality in high school geography education, relieved the stress of geography teachers caused by software and technical problems, and made it possible for teachers to devote more energy to geography teaching and research activities. Natural disaster education is not only an important part of the geography curriculum, but also an indispensable aspect of education for sustainable development (ESD) for high school students. The application of Web GIS in the dynamic monitoring, forecast, and early warning of natural disasters is becoming more experienced. Therefore, the application of Web GIS in natural disaster education is quite feasible. How to build a bridge between them is the purpose of this paper. Thus, the paper selects ArcGIS Online, which is not limited by time and space, and analyzes several functions that apply it to geography teaching. These include smart mapping, story maps, 3D web maps, and mobile GIS. Meanwhile, it analyzes the knowledge structure of “natural disasters” in Chinese geography textbooks to guide the subsequent case design. Then, the Web GIS inquiry-based teaching case is formed based on “7.20 Zhengzhou Torrential Rain”. It contains knowledge about natural disasters and designs from many aspects, such as the causes, manifestations, and prevention and control of disasters. The discussion identifies a range of specific educational benefits of applying Web GIS to natural disaster education for teachers and schools. Ultimately, it can provide some reference values for geography teachers and other developers to explore curriculum resources and create quality educational models.

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“…The land cover maps were GlobeLand30 data for 2000, 2010 and 2020, which were used to explore land cover changes in Shandong Province. Annual average NDVI data were obtained by coding and calculating remote sensing images on the Google Earth Engine platform ( https://code.earthengine.google.com/ ) 24 , 25 as vegetation growth state change data. The global day-by-day NEP simulation data product 26 – 28 was provided by National Ecosystem Science Data Center, National Science & Technology Infrastructure of China ( http://www.nesdc.org.cn ).…”

Section: Methodsmentioning

confidence: 99%

Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China

Zhu

Xing

Hou

2022

Sci Rep

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Land cover change affects the carbon emissions of ecosystems in some way. The qualitative and quantitative understanding of carbon emissions from human activities (e.g., land cover change, industrial production, etc.) is highly significant for realizing the objective of carbon neutrality. Therefore, this paper used GlobeLand30 land cover maps, annual average normalised difference vegetation index (NDVI) data, annual average net ecosystem productivity (NEP) data and statistical yearbook data from 2000 to 2020 to explore the relationship between land cover change and carbon emissions. Specifically, it included land cover change, carbon storage changes influenced by land cover change, spatial and temporal analysis of carbon sources and sinks, land use intensity change and anthropogenic carbon emissions. The results of the study show that the main land cover changes in Shandong province during 2000–2020 was cultivated land conversion to artificial surfaces. Among them, the area of cultivated land converted to artificial surfaces from 2000 to 2010 was 4930.62 km2, and the proportion of cultivated land converted to artificial surfaces from 2010 to 2020 was as high as 78.35%. The total carbon stock of vegetation affected by land cover change decreased by 463.96 × 104 t and 193.50 × 104 t in 2000–2010 and 2010–2020 respectively. The spatial and temporal distribution of carbon sources and sinks differed more markedly from 2000 to 2020, and land use intensity changes in Shandong Province showed an upward trend. Of the total energy production, industry has the largest energy consumption, followed closely by total energy consumption in transportation, storage and postal services.

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Mapping the Northern Limit of Double Cropping Using a Phenology-Based Algorithm and Google Earth Engine

Cited by 32 publications

References 61 publications

Spatiotemporal Variations of Vegetation Net Primary Productivity and Its Response to Meteorological Factors Across the Yellow River Basin During the Period 1981–2020

Spatiotemporal Variations of Vegetation Net Primary Productivity and Its Response to Meteorological Factors Across the Yellow River Basin During the Period 1981–2020

Web GIS for Sustainable Education: Towards Natural Disaster Education for High School Students

Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China

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