Applied Remote Sensing for Epidemiological Surveillance Plant Geoprocessing National Laboratory of Plant Health Information

WITH THE USE OF SPECTRAL INFORMATION OBTAINED SPOT LEVEL (SPECTRORADIOMETERS FIELD)- FARM (UAV or DRON) AND SATELLITE; LaNGIF MAKES THE RISK ANALYSIS OF PLANT PROTECTION IN SUPPORT OF NATIONAL EPIDEMIOLOGICAL SURVEILLANCE. "HLB" (Candidatus Liberibacter spp.), Also known as "yellow dragon“ or “citrus greening”, represents a serious threat to the nearly 550,000 acres of citrus established in 24 states with this crop in Mexico. Therefore, have joined efforts at the scientific and technological level between various national and international organizations, in addition to universities and research centers to create strategies to achieve timely phytosanitary surveillance, as well as being efficient in controlling the insect vector, the Asian citrus psyllid (Diaphorina citri). The LaNGIF has applied new methodologies supported in the field as the spectroradiometry to determine free and infected areas with HLB. The application of models and the development of new applications spectroradiometry requires an integrated approach and cooperation of experts at national and international level.

Coffee rust caused by Hemileia vastratrix in Mexico represents a potential risk to national coffee production whose production value surpassed 2011 for the agricultural cycle so billion pesos (SIAP, 2013). Today, coffee is grown in 15 states in Mexico; however Chiapas, Veracruz and Oaxaca represent 77.1% of the total cultivated area. The significance of this disease goes beyond economics to socicultural topics, as many families are subsistence and depend heavily on this crop. The LaNGIF has raised phytosanitary surveillance schemes, supported satellite resources with different temporal and radiometric resolution (AVHRR, MODIS, LANDSAT AND SPOT). The aim is to define the risk areas at low cost in maps of different scales for decision making, called Windows for Plant Health Assisted by Remote Sensing. Windows for Plant Health Assisted by Remote Sensing

The Central American locust Schistocerca piceifrons, attacks maize, sesame, sorghum, cotton, sugar cane, banana, fruit trees and palms, losses in export crops can reach 100%. The locust is distributed from southeastern Mexico (Campeche, Chiapas, Tabasco, Quintana Roo and Yucatan) to the states of the slope of the Gulf of Mexico (Hidalgo, San Luis Potosi, Tamaulipas and Veracruz) and Pacific (Oaxaca, Guerrero, Colima, Jalisco, Nayarit and Michoacán). Chemical control is the main method of combat in 2009 about 172 tons of methyl parathion and 10.2 ton of Cypermethrin 3% were employed, and 510 to serve 6,845 lobster has problems respectively; However in the last 6 years have come to apply about 800 tons of methyl parathion only in Yucatán. The effectiveness of locust control is increased when web platforms that are used LaNGIF proposed. With satellite images NDVI and EVI values ​​are obtained, and optimal soil temperatures between 18 variables allow others define and monitor risk areas affected by Schistocerca p.

The LaNGIF has experience handling geotechnology, however the optimal processing of satellite data can only be achieved if there is a constantly trained workforce to process and interpret the data. It is essential to have a full and open access to satellite data of the main sources of free (with its implications regarding this represents levels of processing, spatial scales, radiometric and temporal). Find the greatest benefit analysis of plant information derived from satellite data basic to sophisticated methods under a multidisipinaria vision. Investment in training and technical support in remote sensing is important for progress in data analysis for the Epidemiological Monitoring Plant.