Mapping Biophysical Variables From Solar and Thermal Infrared Remote Sensing: Focus on Agricultural Landscapes With Spatial Heterogeneity

Jacob F.; Weiss M.

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Mapping Biophysical Variables From Solar and Thermal Infrared Remote Sensing: Focus on Agricultural Landscapes With Spatial Heterogeneity

机译：从太阳和热红外遥感图绘制生物物理变量：着眼于具有空间异质性的农业景观

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This letter closes a Special Stream that focuses on spatial heterogeneity when mapping biophysical variables over agricultural landscape from solar and thermal infrared remote sensing. We propose an overview of the highlights from prior research, we report the main results of the Special Stream, and we discuss future directions. The main outcomes of the Special Stream are related to: 1) the impact on the remotely sensed signal of canopy vertical distribution, shadowing effects, and multiple scattering; 2) the notion of spatial resolution limit in relation to spatial heterogeneity; and 3) the definition of an optimal sampling strategy to spatialize ground measurements.

机译：这封信关闭了一条特别流，该流在从太阳和热红外遥感图绘制农业景观上的生物物理变量时着重于空间异质性。我们提议对先前研究的重点进行概述，我们报告“专题研究”的主要结果，并讨论未来的方向。特殊流的主要结果涉及：1）冠层垂直分布，阴影效应和多重散射对遥感信号的影响； 2）与空间异质性有关的空间分辨率极限的概念； 3）定义用于空间测量地面的最佳采样策略。

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《IEEE Geoscience and Remote Sensing Letters》 |2014年第10期|1844-1848|共5页
作者
Jacob F.; Weiss M.;
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正文语种 eng
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关键词
Agricultural landscape; downscaling; forestry; remote sensing; spatial heterogeneity; upscaling;

机译：农业景观;缩小规模;林业;遥感;空间异质性;扩大规模;

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1. Linking fish assemblages and spatiotemporal thermal heterogeneity in a river-floodplain landscape using high-resolution airborne thermal infrared remote sensing and in-situ measurements [J] . Tonolla D., Wolter C., Ruhtz T., Remote Sensing of Environment: An Interdisciplinary Journal . 2012,第Null期

机译：使用高分辨率机载热红外遥感技术和原位测量，将鱼群和时空热异质性联系起来
2. Mapping surface fluxes using airborne visible, near infrared, thermal infrared remote sensing data and a spatialized surface energy balance model [J] . Jacob F, Olioso A, Gu XF, AgraFood East Europe . 2002,第6期

机译：使用机载可见光，近红外，热红外遥感数据和空间化表面能平衡模型绘制表面通量
3. Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data [J] . Garrigues S, Allard D, Baret F, Remote Sensing of Environment: An Interdisciplinary Journal . 2006,第4期

机译：景观空间异质性对中度空间分辨率遥感数据叶面积指数非线性估计的影响
4. Remote sensing-based research of urban thermodynamic landscape heterogeneity and spatial scale effect [C] . Jia Yi, Yongzhong Tian, Lifen Zhu, Remote sensing and modeling of ecosystems for sustainability V . 2008

机译：基于遥感的城市热力景观异质性与空间尺度效应研究
5. Modelling biophysical variables and carbon dioxide exchange in Arctic tundra landscapes using high spatial resolution remote sensing data. [D] . Atkinson, David Michael. 2013

机译：使用高空间分辨率遥感数据对北极苔原景观中的生物物理变量和二氧化碳交换进行建模。
6. Wide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing [O] . Jerome O’Connell, Ute Bradter, Tim G. Benton -1

机译：利用机载遥感对农业景观中的小尺度特征进行广域制图
7. Mapping biophysical variables from solar and thermal infrared remote sensing: focus on agricultural landscapes with spatial heterogeneity [O] . Jacob, Frédéric, Weiss, Marie 2014

机译：绘制太阳和热红外遥感的生物物理变量图：关注具有空间异质性的农业景观
8. New Approaches to Using Remotely Sensed Data for Mapping Biophysical Variables [R] . Dungan, Jennifer, Couglan, Joseph 2000

机译：利用遥感数据绘制生物物理变量的新方法

Mapping Biophysical Variables From Solar and Thermal Infrared Remote Sensing: Focus on Agricultural Landscapes With Spatial Heterogeneity

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