Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques

Panda, Sudhanshu Sekhar; Hoogenboom, Gerrit; Paz, Joel O.

doi:10.1016/j.compag.2009.02.007

Cited by 34 publications

(41 citation statements)

References 17 publications

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“…Geographic Information Systems (GIS) can also help in delineation of fruit crop orchard boundary, ground truth data collection, and preparation of other spatial data from the georeferenced cadastral maps (Panda and Hoogenboom, 2009). Identification and discrimination of various vegetation types /land cover classes requires use of subtle differences in their spectral data and hence rely mostly on digital image processing techniques.…”

Section: Methodsmentioning

confidence: 99%

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Horticultural Fruit Crop Plantations Mapping using Geo-informatics Technology in Gujarat State, India

Patel

Dalwadi

Kathota

et al. 2017

IJARSG

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The cultivation and production of horticultural crops is known as "Golden Revolution" and India has emerged as the second largest producer of fruits and vegetables in the world. The Central Government of India has started National Horticulture Mission (NHM) for overall development of Horticulture and Gujarat Government has also started Gujarat State Horticulture Mission (GSHM). This mission being implemented in 16-potential districts and covers major fruit crops in the state like mango, sapota, Aonla, banana, coconut etc. Under the GSHM, mapping of fruit crop plantations using Indian Remote Sensing Satellite (IRS) data in Gujarat State was carried out jointly by the Directorate of Agriculture, Govt of Gujarat and Bhaskaracharya Institute for Space Applications and Geoinformatics (BISAG), Govt of Gujarat. The major objective of this project was mapping of fruit crop plantations at village-level and preparation of village-level Horticultural Atlas of Gujarat State. High spatial resolution digital data from IRS LISS-IV and CARTOSAT-1 with spatial resolutions of 5.8m and 2.5m respectively, covering major fruit growing districts in Gujarat state was analysed for identification and delineations of fruit crop plantations in each survey number on cadastral map. The cadastral maps of each village were geo-referenced with satellite data and survey number boundaries were superimposed on the satellite data. Fruit crop plantations were located during field visits and their GPS locations were transferred to the satellite images with cadastral maps for unique identification and accurate mapping. The fruit crops in different districts of Gujarat State were identified on the high resolution satellite data based on the planting pattern and tree-crown density. The survey numbers having fruit crop plantations were delineated on the CARTOSAT-1 data. The fruit crop plantation maps of each village were prepared and complied at village and taluka level using open-source Quantum GIS software for preparation of village-level horticultural atlas of Gujarat State. The area under fruit crop plantations was also estimated. The results of this alternate method of mapping fruit crop plantations using high resolution, single-band CARTOSAT-1 panchromatic data on cadastral maps with survey numbers gave very good results for preparation village-level horticultural atlas of Gujarat State. Field survey in different villages was also carried out for accuracy assessment of survey numbers mapped as horticultural plantations.

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Section: Methodsmentioning

confidence: 99%

“…Ultimately, it will improve profits for producers (Panda et al, 2009). Geospatial technology is a combination of four essential tools: remote sensing, geographic information systems (GIS), global positioning systems (GPS), and information technology or data management (Lobell et al, 2005).…”

Section: R S and Gis Studies For Horticultural Cropsmentioning

confidence: 99%

Horticultural Fruit Crop Plantations Mapping using Geo-informatics Technology in Gujarat State, India

Patel

Dalwadi

Kathota

et al. 2017

IJARSG

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“…SSCM has become very common in management of field and row crops during recent years. Yet, its application for non-traditional horticultural crops has not been very widespread [8]. Companies, such as Lanworth (http://lanworth.com/), which gather intelligence on natural resources, use geospatial technologies to map, analyze, and forecast agriculture and forest output.…”

Section: Introductionmentioning

confidence: 99%

“…The use of SSCM for horticultural crops such as fruit and nut crops has potential for increasing net returns and optimizing resource use [8]. The delineation of orchards and spatial analysis using geospatial technology can provide additional information for management decision making, such as the determination of fruit yield, the quantification and scheduling of precise and proper fertilizer, irrigation needs, and the application of pesticides for pest and disease management.…”

Section: Introductionmentioning

confidence: 99%

“…The delineation of orchards and spatial analysis using geospatial technology can provide additional information for management decision making, such as the determination of fruit yield, the quantification and scheduling of precise and proper fertilizer, irrigation needs, and the application of pesticides for pest and disease management. Ultimately, it will improve profits for producers [8]. The use of remote sensing has become common for the general detection of the growth and health of orchards on a larger scale.…”

Section: Introductionmentioning

confidence: 99%

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Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review

Panda¹,

Hoogenboom

Paz

2010

Remote Sensing

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Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it has very little application in cash crops like fruit and nut. The main goal of this review paper was to conduct a comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops. The review explores various remote sensing data from different platforms like satellite, LIDAR, aerial, and field imaging. The study analyzes the use of satellite sensors, such as Quickbird, Landsat, SPOT, and IRS imagery as well as hyperspectral narrow-band remote sensing data in study of fruit and nut crops in blueberry, citrus, peach, apple, etc. The study also explores other geospatial technologies such as GPS, GIS spatial modeling, advanced image processing techniques, and information technology for suitability study, orchard delineation, and classification accuracy assessment. The study also provides an example of a geospatial model developed in ArcGIS ModelBuilder to automate the blueberry production suitability analysis. The GIS spatial model is developed using various crop characteristics such as chilling hours, soil permeability, drainage, and pH, and land cover to determine the best sites for growing OPEN ACCESSRemote Sensing 2010, 2 1974 blueberry in Georgia, U.S. The study also provides a list of spectral reflectance curves developed for some fruit and nut crops, blueberry, crowberry, redblush citrus, orange, prickly pear, and peach. The study also explains these curves in detail to help researchers choose the image platform, sensor, and spectrum wavelength for various fruit and nut crops SSCM.

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Geospatial Modeling Applications for Biofuel Sustainability Assessment

Panda¹

2013

Biofuel Crop Sustainability

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Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques

Cited by 34 publications

References 17 publications

Horticultural Fruit Crop Plantations Mapping using Geo-informatics Technology in Gujarat State, India

Horticultural Fruit Crop Plantations Mapping using Geo-informatics Technology in Gujarat State, India

Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review

Geospatial Modeling Applications for Biofuel Sustainability Assessment

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