⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

September 1, 2010Remote Sensing LettersOpen Access

Survey and monitoring of opium poppy and wheat in Afghanistan: 2003–2009

John Taylor Toby Waine Graham R. Juniper Daniel M. Simms Tim Brewer

View Full Paper

Ask AI

Bookmark

Share

Abstract

An integrated application of remote-sensing technology was devised and applied in Afghanistan during 2003–2009 providing critical information on cereal and poppy cultivation and poppy eradication. The results influenced UK and international policy and counter-narcotics actions in Afghanistan.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Taylor et al. (2010) studied this question.

synapsesocial.com/papers/6a706d4a2163a0a01bc4a4c2 https://doi.org/10.1080/01431161003713028

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1SFI-Net: a scattering feature integration Network for aircraft target detection in SAR imagesRemote Sensing Letters · Fri,
2Gated fusion neural network Met-SDB for satellite-derived bathymetry incorporating synchronous meteorological dataRemote Sensing Letters · Mon,
3Simulation of SAR multi-angle ship target imaging, considering multiple scatteringRemote Sensing Letters · Fri,
4SAR-based classification of built-up patterns using Modified PRISI index: Surabaya–Sidoarjo, IndonesiaRemote Sensing Letters · Tue,
5Multi-CD mini: a dataset for 3D urban semantic change detection with high spatial resolution imagery and nDSMRemote Sensing Letters · Mon,

More from Remote Sensing Letters

A novel dual-polarization SAR ship classification method based on a polarimetric attention-guided and frequency domain feature fusionMon,
Integrating multimodal data through a data-driven ensemble model for optimizing forest height estimationFri,
CS-M 2 Former: unified multi-task framework for remote sensing image segmentation based on cross-scale feature fusionFri,
AMHCNet: an Adaptive Multi-Scale Heat Conduction Network for Remote Sensing Image Semantic SegmentationSat,
Shallow water bathymetry based on seafloor classification and active–passive dataSat,