Agricultural Information Needs and Research Priorities for Remote Sensing in South and Southeast Asian Countries

Vadrevu, Krishna Prasad; Toan, Thuy Le; Ray, S. S.; Justice, Chris

doi:10.1007/978-3-030-92365-5_1

Cited by 2 publications

(4 citation statements)

References 75 publications

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“…However, in recent times, there have been rapid advances in sensors and computers, which have expanded the utility of RS in agriculture monitoring, mapping, and measurement [36]. These improvements include higher spatial resolution, hyperspectral data, and the recent use of RADAR and LiDAR platforms, allowing more detailed mapping [37] and monitoring of agriculture activities [30,38]. Hence, new computer applications and techniques are being developed for enhancing precision, smart, and sustainable agriculture [39].…”

Section: Literature Review On Global Applications Of Remote Sensing I...mentioning

confidence: 99%

“…They are applied to discern suitable cultivable lands, identify irrigation sites, assess pasturelands, understand the interplay between crop growth, health, and water management, track animal move-ments, estimate production, and monitor changes in soil-vegetation-atmosphere-transfer processes over time [40,41]. These tools have been used extensively in Southeast Asia [37], Australia [39], and North America [42].…”

Section: Literature Review On Global Applications Of Remote Sensing I...mentioning

confidence: 99%

“…To address these and other related issues, the NASA Land Cover and Land Use Change (LCLUC) program introduced the South/Southeast Asia Research Initiative (SARI). SARI aims to promote and build capacity through the use of RS data to assess the amount of food grown, aboveground biomass availability for fodder and rangeland stocking, and water availability for irrigation farming in a given year [37,49]. Satellite RS observations, in particular, provide daily data on relevant parameters, including rainfall, temperature, vegetation and crop health, and soil moisture conditions.…”

Section: Literature Review On Global Applications Of Remote Sensing I...mentioning

confidence: 99%

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Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana

Moomen,

Yevugah,

Boakye

et al. 2024

Agriculture

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This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990–2023). During this period, there have been several government policy intervention schemes and pragmatic support actions from development agencies towards improving agriculture in this area with differing level of success. Over the same period, there have been dramatic advances in remote sensing (RS) technologies with tailored applications to sustainable agriculture globally. However, the extent to which intervention schemes have harnessed the incipient potential of RS for achieving sustainable agriculture in the study area is unknown. To the best of our knowledge, no previous study has investigated the synergy between agriculture policy interventions and applications of RS towards optimizing results. Thus, this study used systematic literature review and desk analysis to identify previous and current projects and studies that have applied RS tools and techniques to all aspects of agriculture in the study area. Databases searched include Web of Science, Google Scholar, Scopus, AoJ, and PubMed. To consolidate the gaps identified in the literature, ground-truthing was carried out. From the 26 focused publications found on the subject, only 13 (54%) were found employing RS in various aspects of agriculture observations in the study area. Out of the 13, 5 studies focused on mapping the extents of irrigation areas; 2 mapped the size of crop and pasturelands; 1 focused on soil water and nutrient retention; 1 study focused on crop health monitoring; and another focused on weeds/pest infestations and yield estimation in the study area. On the type of data, only 1 (7%) study used MODIS, 2 (15%) used ASTER image, 1 used Sentinel-2 data, 1 used Planetscope, 1 used IKONOS, 5 used Landsat images, 1 used Unmanned Aerial Vehicles (UAVs) and another 1 used RADAR for mapping and monitoring agriculture activities in the study area. There is no evidence of the use of LiDAR data in the area. These results validate the hypothesis that failing agriculture in the study area is due to a paucity of high-quality spatial data and monitoring to support informed farm decision-making.

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Section: Literature Review On Global Applications Of Remote Sensing I...mentioning

confidence: 99%

Section: Literature Review On Global Applications Of Remote Sensing I...mentioning

confidence: 99%

Section: Literature Review On Global Applications Of Remote Sensing I...mentioning

confidence: 99%

See 1 more Smart Citation

Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana

Moomen,

Yevugah,

Boakye

et al. 2024

Agriculture

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“…Hence, small and less intense res might continue to maintain or even increase tree cover. Second, even though we have used complementary satellite derived information about re intensity and frequency, the small extent and reduced intensity of res in India might be di cult to detect accurately in remote sensed products [71][72][73] . Third, reduced re activity has been reported in savannas and grasslands, mainly because of re suppression associated with agricultural expansion and intensi cation globally 74 and in savannas of South America 75 .…”

Section: Resource and Disturbance Factors Regulate Tree Cover Shortfallmentioning

confidence: 99%

The distribution and drivers of tree cover in India

Gopalakrishna,

Rifai,

Ratnam

et al. 2024

Preprint

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The distribution of forest and savanna biomes and the role of resources (climate and soil) and disturbances (fire and herbivory) in determining tree-grass dynamics remains elusive and variable across geographies. This is especially problematic in Indian savannas which have been historically misclassified as degraded forests and are targeted for tree-planting. Here, we examine biome distribution and determinants through the lens of tree cover across India. Our analyses reveal four distinct zones of differing tree cover, with intermediate zones containing savanna vegetation. Rainfall seasonality determines maximum possible tree cover non-linearly. Once rainfall seasonality is factored out, soil sand fraction and topography partially explain residual variation of tree cover. High domestic livestock herbivory and other anthropogenic pressures reduce tree cover. Lastly, lack of detectable fires precludes robust conclusions about the relationship between fire and tree cover. By considering these environmental drivers in restoration planning, we can improve upon simplistic tree planting initiatives that may be detrimental to Indian savannas.

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Agricultural Information Needs and Research Priorities for Remote Sensing in South and Southeast Asian Countries

Cited by 2 publications

References 75 publications

Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana

Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana

The distribution and drivers of tree cover in India

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