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Field: Remote Sensing in Agriculture

System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

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Olaf Conrad, Benjamin Bechtel, M. Bock, Helge Dietrich et al.

Year: 2015Citations: 757

Abstract. The System for Automated Geoscientific Analyses (SAGA) is an open-source Geographic Information System (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly developed from a specialized tool for digital terrain analysis to a comprehe...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005

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Ashraf Dewan, Yasushi Yamaguchi

Journal: Environmental Monitoring and AssessmentYear: 2008Citations: 378

This paper illustrates the result of land use/cover change in Dhaka Metropolitan of Bangladesh using topographic maps and multi-temporal remotely sensed data from 1960 to 2005. The Maximum likelihood supervised classification technique was used to extract information from satellite data, and post-cl...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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sPlot – A new tool for global vegetation analyses

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Helge Bruelheide, Jürgen Dengler, Borja Jiménez‐Alfaro, Oliver Purschke et al.

Journal: Journal of Vegetation ScienceYear: 2019Citations: 279

Abstract Aims Vegetation‐plot records provide information on the presence and cover or abundance of plants co‐occurring in the same community. Vegetation‐plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continen...

Physical SciencesEnvironmental ScienceNature and Landscape ConservationOpen Access
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Temporal dynamics of land use/land cover change and its prediction using CA-ANN model for southwestern coastal Bangladesh

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M. Tauhid Ur Rahman, Faheemah Tabassum, Md Rasheduzzaman, Humayra Saba et al.

Journal: Environmental Monitoring and AssessmentYear: 2017Citations: 250

Change analysis of land use and land cover (LULC) is a technique to study the environmental degradation and to control the unplanned development. Analysis of the past changing trend of LULC along with modeling future LULC provides a combined opportunity to evaluate and guide the present and future l...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Land cover change detection using GIS and remote sensing techniques: A spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh

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Md. Inzamul Haque, Rony Basak

Journal: The Egyptian Journal of Remote Sensing and Space ScienceYear: 2017Citations: 240

Tanguar Haor is one of the two listed Ramsar Site of this country which contains a rich amount of biodiversity as well as a highly productive ecosystem. But the valuable landscape undergoes a radical change in its form over the decades. This study uses past and recent satellite data to evaluate the ...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Classification of crops and weeds from digital images: A support vector machine approach

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Faisal Ahmed, Hawlader Abdullah Al-Mamun, Amna Bari, Emam Hossain et al.

Journal: Crop ProtectionYear: 2012Citations: 230

In most agricultural systems, one of the major concerns is to reduce the growth of weeds. In most cases, removal of the weed population in agricultural fields involves the application of chemical herbicides, which has had successes in increasing both crop productivity and quality. However, concerns ...

Life SciencesAgricultural and Biological SciencesPlant Science
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High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data

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Mrinal Singha, Jinwei Dong, Geli Zhang, Xiangming Xiao

Journal: Scientific DataYear: 2019Citations: 219

Knowledge of where, when, and how much paddy rice is planted is crucial information for understating of regional food security, freshwater use, climate change, and transmission of avian influenza virus. We developed seasonal paddy rice maps at high resolution (10 m) for Bangladesh and Northeast Indi...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions

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Llorenç Cabrera‐Bosquet, Gemma Molero, Anna Maria Stellacci, J. Bort et al.

Journal: Cereal Research CommunicationsYear: 2011Citations: 215

The application of spectroradiometric index such as the normalized difference vegetation index (NDVI) to assess green biomass or nitrogen (N) content has focused on the plant canopy in precision agriculture or breeding programs. However, little is known about the usefulness of these techniques in is...

Physical SciencesEnvironmental ScienceEcologyOpen Access
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Tea leaf disease detection and identification based on YOLOv7 (YOLO-T)

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Md. Janibul Alam Soeb, Md. Fahad Jubayer, Tahmina Akanjee Tarin, Muhammad Rashed Al Mamun et al.

Journal: Scientific ReportsYear: 2023Citations: 207

A reliable and accurate diagnosis and identification system is required to prevent and manage tea leaf diseases. Tea leaf diseases are detected manually, increasing time and affecting yield quality and productivity. This study aims to present an artificial intelligence-based solution to the problem ...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010

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Murali Krishna Gumma, Prasad S. Thenkabail, A. Maunahan, Md Saidul Islam et al.

Journal: ISPRS Journal of Photogrammetry and Remote SensingYear: 2014Citations: 202

Rice is the most consumed staple food in the world and a key crop for food security. Much of the world’s rice is produced and consumed in Asia where cropping intensity is often greater than 100% (more than one crop per year), yet this intensity is not sufficiently represented in many land use produc...

Physical SciencesEnvironmental ScienceEcologyOpen Access
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Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water‐limited environments

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Jaume Casadesús, Yüksel Kaya, J. Bort, M. M. Nachit et al.

Journal: Annals of Applied BiologyYear: 2007Citations: 196

Abstract The ability to assess green biomass is of particular interest in a number of wheat breeding environments. However, the measurement of this and similar traits is either tedious and time‐consuming or requires the use of expensive, sophisticated equipment, such as field‐based spectroradiometer...

Physical SciencesEnvironmental ScienceEcology
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Flood inundation map of Bangladesh using MODIS time‐series images

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A. K. M. Saiful Islam, Sujit Kumar Bala, Mohammad Ariful Haque

Journal: Journal of Flood Risk ManagementYear: 2010Citations: 179

Abstract The detection of the spatio‐temporal extent of inundation resulting from the floods in 2004 and 2007 in Bangladesh has been studied using time‐series MODIS surface reflectance data. Flood inundation maps were developed from vegetation and land water surface indices derived using surface ref...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Identifying the land use land cover (LULC) changes using remote sensing and GIS approach: A case study at Bhaluka in Mymensingh, Bangladesh

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Md Mahadi Hasan Seyam, Md. Rashedul Haque, Md. Mostafizur Rahman

Journal: Case Studies in Chemical and Environmental EngineeringYear: 2023Citations: 172

LULC is vital to investigate land use patterns and helping forecast future sustainable land management. The study area is a freshly emerging and quickly industrialized area in Mymensingh, Bangladesh, where the urbanization process has also fostered and changed the landscape uses. The change has been...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Net Primary Production and Canopy Nitrogen in a Temperate Forest Landscape: An Analysis Using Imaging Spectroscopy, Modeling and Field Data

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Scott V. Ollinger, Marie-Louise Smith

Journal: EcosystemsYear: 2005Citations: 168
Physical SciencesEnvironmental ScienceEcology
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Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh

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Xizhi Zhao, Bailang Yu, Yan Liu, Zuoqi Chen et al.

Journal: Remote SensingYear: 2019Citations: 167

Spatially explicit and reliable data on poverty is critical for both policy makers and researchers. However, such data remain scarce particularly in developing countries. Current research is limited in using environmental data from different sources in isolation to estimate poverty despite the fact ...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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