Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Kati Laakso"'
Autor:
Alireza Hamedianfar, Kati Laakso, Maarit Middleton, Tuomo Törmänen, Juha Köykkä, Johanna Torppa
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4806 (2023)
Laboratory-based hyperspectral imaging (HSI) is an optical non-destructive technology used to extract mineralogical information from bedrock drill cores. In the present study, drill core scanning in the long-wave infrared (LWIR; 8000–12,000 nm) wav
Externí odkaz:
https://doaj.org/article/98da22ca113a466daefb8cc26a7d0347
Autor:
Menglei Duan, Connor Bax, Kati Laakso, Nooshin Mashhadi, Nelson Mattie, Arturo Sanchez-Azofeifa
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 479 (2023)
Secondary succession is defined as natural regeneration following complete forest clearance from anthropogenic or natural disturbances. Traditional strategies aimed to map and characterize secondary succession using remote sensing are usually based o
Externí odkaz:
https://doaj.org/article/a3e3c2ae802c47cd90a49977c80dca7b
Autor:
Xin Chen, Pingli An, Kati Laakso, G. Arturo Sanchez-Azofeifa, Fangtian Wang, Guoliang Zhang, Li Jiang, Yi Zhou, Fei Lun, Lidong Zou, Rui Jiang, Zhihua Pan
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 98, Iss , Pp 102312- (2021)
The green depressing cropping system (GDCS) has existed in the farming-pastoral ecotone of northern China (FPENC) for hundreds of years. This ancient practice aims to promote an agricultural system that is both green and sustainable at the same time.
Externí odkaz:
https://doaj.org/article/5bcf9da5faa842ffbd7589881c4caf4e
Publikováno v:
Environmental and Sustainability Indicators, Vol 9, Iss , Pp 100100- (2021)
Carbon sequestration by forests is one of the vital ecosystem services regulating the global climate. Equally important are the socio-economic co-benefits of carbon sequestration, given their implications for designing policies focused on conservatio
Externí odkaz:
https://doaj.org/article/c911f30fc0024aab90744f45d23f5243
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4102 (2021)
Hyperspectral images (HSIs) often contain pixels with mixed spectra, which makes it difficult to accurately separate the background signal from the anomaly target signal. To mitigate this problem, we present a method that applies spectral unmixing an
Externí odkaz:
https://doaj.org/article/19af615c04394aceb1d0378b87a1a542
Autor:
Xin Chen, Guoliang Zhang, Yuling Jin, Sicheng Mao, Kati Laakso, Arturo Sanchez-Azofeifa, Li Jiang, Yi Zhou, Haile Zhao, Le Yu, Rui Jiang, Zhihua Pan, Pingli An
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4304 (2021)
The growing population and northward shifts in the center of grain production collectively contribute to the arising farmland use intensity of the farming–pastoral ecotone of Northern China (FPENC). Consequently, it poses a great threat to the vuln
Externí odkaz:
https://doaj.org/article/bb19496433ed4b9a9fdd9c789e3ee828
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3830 (2021)
Accurate estimation of the degree of regeneration in tropical dry forest (TDF) is critical for conservation policymaking and evaluation. Hyperspectral remote sensing and light detection and ranging (LiDAR) have been used to characterize the determini
Externí odkaz:
https://doaj.org/article/2f700d19c3254b02a8d69e28398767fd
Autor:
Rui Jiang, Arturo Sanchez-Azofeifa, Kati Laakso, Yan Xu, Zhiyan Zhou, Xiwen Luo, Junhao Huang, Xin Chen, Yu Zang
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2961 (2021)
Cloud cover hinders the effective use of vegetation indices from optical satellite-acquired imagery in cloudy agricultural production areas, such as Guangdong, a subtropical province in southern China which supports two-season rice production. The nu
Externí odkaz:
https://doaj.org/article/b08eb6f19e744e5db208e83ad27eda2a
Autor:
Kayla D Stan, Arturo Sanchez-Azofeifa, Sandra M Duran, J Antonio Guzman Q, Michael Hesketh, Kati Laakso, Carlos Portillo-Quintero, Cassidy Rankine, Sebastian Doetterl
Publikováno v:
Environmental Research Letters, Vol 16, Iss 5, p 054027 (2021)
Tropical dry forests (TDFs) worldwide have an environment-sensitive phenological signal, which easily marks their response to the changing climatic conditions, especially precipitation and temperature. Using TDF phenological characteristics as a prox
Externí odkaz:
https://doaj.org/article/56bfe43ea7b94e169a9c67c954305cd4
Autor:
Rui Jiang, Pei Wang, Yan Xu, Zhiyan Zhou, Xiwen Luo, Yubin Lan, Genping Zhao, Arturo Sanchez-Azofeifa, Kati Laakso
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1850 (2020)
Unmanned aerial vehicle (UAV) remote sensing platforms allow for normalized difference vegetation index (NDVI) values to be mapped with a relatively high resolution, therefore enabling an unforeseeable ability to evaluate the influence of the operati
Externí odkaz:
https://doaj.org/article/05bf6e5622a24c0aab01c8c938cbd507