Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production

Leslie, Colin R.; Serbina, Larisa O.; Miller, Holly M.

doi:10.3133/ofr20171034

Cited by 28 publications

(15 citation statements)

References 10 publications

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“…Thousands of environmentally focused papers have been published using Landsat data, including the first National Land Cover Dataset in the 1990s for the conterminous USA (Vogelmann et al 2001 ) and continental scale maps of land cover change (Townsend and Walsh 2001 ; Hansen et al 2014 ) and the forestry map of Canada (Wulder et al 2003 ). Notable ecological studies have addressed forest health (e.g., monitoring woolly adelgid outbreaks in eastern hemlock; Royle and Lathrop 1997 ), forest survival after wildfire (Kushla and Ripple 1998 ; Miller and Yool 2002 ; Karlson et al 2015 ), mapping the distribution of semiarid vegetation and environmental controls on species abundance patterns (Smith et al 1990a , 1990b ), and innumerable other ecosystem applications from agriculture (Leslie et al 2017 ; Gumma et al 2020 ) to wetlands (Johnson and Barson 1993 ; Tang et al 2004 ; Schneider et al 2009 ; Halabisky et al, 2016 , biodiversity hotspots (Gould 2000 ; Helmer et al 2002 ; Brandt et al 2013 ; Cavender-Bares et al 2016 ), alpine ecosystems (Dozier 1989 ; Bolton et al 2018 ; Gianinetto et al 2019 ), the arctic (Stow et al 2004 ; Huang et al 2017 ; Griffin et al 2018 ), and to dry lands (Qi et al 2000 ; Langley et al 2001 ; Bradley and Mustard 2005 ; Chen et al 2005 ; Sohn and Qi 2005 ) and landscape structure (Saunders et al 2002 ) among other applications.…”

Section: The Landsat Heritagementioning

confidence: 99%

Current and near-term advances in Earth observation for ecological applications

2021

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There is an unprecedented array of new satellite technologies with capabilities for advancing our understanding of ecological processes and the changing composition of the Earth’s biosphere at scales from local plots to the whole planet. We identified 48 instruments and 13 platforms with multiple instruments that are of broad interest to the environmental sciences that either collected data in the 2000s, were recently launched, or are planned for launch in this decade. We have restricted our review to instruments that primarily observe terrestrial landscapes or coastal margins and are available under free and open data policies. We focused on imagers that passively measure wavelengths in the reflected solar and emitted thermal spectrum. The suite of instruments we describe measure land surface characteristics, including land cover, but provide a more detailed monitoring of ecosystems, plant communities, and even some species then possible from historic sensors. The newer instruments have potential to greatly improve our understanding of ecosystem functional relationships among plant traits like leaf mass area (LMA), total nitrogen content, and leaf area index (LAI). They provide new information on physiological processes related to photosynthesis, transpiration and respiration, and stress detection, including capabilities to measure key plant and soil biophysical properties. These include canopy and soil temperature and emissivity, chlorophyll fluorescence, and biogeochemical contents like photosynthetic pigments (e.g., chlorophylls, carotenoids, and phycobiliproteins from cyanobacteria), water, cellulose, lignin, and nitrogen in foliar proteins. These data will enable us to quantify and characterize various soil properties such as iron content, several types of soil clays, organic matter, and other components. Most of these satellites are in low Earth orbit (LEO), but we include a few in geostationary orbit (GEO) because of their potential to measure plant physiological traits over diurnal periods, improving estimates of water and carbon budgets. We also include a few spaceborne active LiDAR and radar imagers designed for quantifying surface topography, changes in surface structure, and 3-dimensional canopy properties such as height, area, vertical profiles, and gap structure. We provide a description of each instrument and tables to summarize their characteristics. Lastly, we suggest instrument synergies that are likely to yield improved results when data are combined.

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Section: The Landsat Heritagementioning

confidence: 99%

Current and near-term advances in Earth observation for ecological applications

2021

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“…Governments can also develop more effective policies informed by dataeither by making better use of their existing data or by drawing on new sources of data. Government use of digital technologies is not new: for example, governments have been using Landsat data to monitor agricultural production since the 1970s (Leslie, Serbina, and Miller 2017). However, advances in digital technologies have increased the spatial and temporal resolution of agricultural data and the capacity to merge and process large datasets.…”

Section: Digital Opportunities For Reducing Transaction Costs In Agricultural Policiesmentioning

confidence: 99%

What's Cooking: Digital Transformation of the Agrifood System

Elabed¹,

Schroeder²,

Lampietti³

2021

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A strong food and agriculture system is fundamental to economic growth, poverty reduction, environmental sustainability, and human health. The Agriculture and Food Series is intended to prompt public discussion and inform policies that will deliver higher incomes, reduce hunger, improve sustainability, and generate better health and nutrition from the food we grow and eat. It expands on the former Agriculture and Rural Development series by considering issues from farm to fork, in both rural and urban settings. Titles in this series undergo internal and external review under the management of the World Bank's Agriculture and Food Global Practice.

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“…In this study, Landsat satellite data of agricultural fields from the past 35 years (1984-2019) was used. Landsat has been relaying data from space since 1972 and the Landsat satellite data has been used in many studies [25][26][27][28]. The data used for our research was from the summer months, since these give the chance to classify with a higher degree of accuracy due to the low cloudiness.…”

Section: The Datamentioning

confidence: 99%

Analysis of Spatial-Temporal Changes of Agricultural Land Use During the Last Three Decades in the Araban District of Turkey Using Remote Sensing

Tunç

Tsegai²,

Çelik

2021

GaEE

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Agricultural land use and land cover dynamics were investigated in the Araban district of Turkey during the periods 1984–2019 by the use of Remote Sensing and Geographic Information Systems (GIS). Landsat‑TM and Landsat‑TIRS / OLI satellite imageries were used to determine land use and land cover changes. Using unsupervised classification method of ERDAS 8.3 software, three main agricultural activities were identified namely irrigated farming, dry farming, and horticultural / garden farming. The analysis has revealed that during the last three decades dry farming has decreased significantly by 14.69% (3802.14 ha) whereas horticultural/garden crops and irrigated farming lands have increased by 11.32% (667.19 ha) and 2.51% (2929.41 ha) respectively. Araban has been under intensive agricultural use due to its fertile soil and preference for horticultural crops such as pistachio, grapes and olives that provide more profit over dry farming crops such as wheat and barley has changed land use. Decrease in dry farming in a semi‑arid climate where Araban is located, has a potential ecological consequence, including a rapid drop of groundwater level, drying of wetlands and the disappearance of the biodiversity, thus, a necessary measures should be taken to implement an environmentally friendly, sustainable agriculture and settlement plan.

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Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production

Cited by 28 publications

References 10 publications

Current and near-term advances in Earth observation for ecological applications

Current and near-term advances in Earth observation for ecological applications

What's Cooking: Digital Transformation of the Agrifood System

Analysis of Spatial-Temporal Changes of Agricultural Land Use During the Last Three Decades in the Araban District of Turkey Using Remote Sensing

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