{"id":5363,"date":"2022-07-11T13:11:00","date_gmt":"2022-07-11T11:11:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=5363"},"modified":"2023-08-11T17:07:14","modified_gmt":"2023-08-11T15:07:14","slug":"como-as-imagens-de-satelite-auxiliam-no-monitoramento-de-plantacoes","status":"publish","type":"post","link":"https:\/\/geopard.tech\/pt-br\/blog\/how-satellite-imagery-help-in-crop-monitoring\/","title":{"rendered":"Como as imagens de sat\u00e9lite auxiliam no monitoramento de planta\u00e7\u00f5es"},"content":{"rendered":"<p>As imagens de sat\u00e9lite s\u00e3o uma das ferramentas mais vers\u00e1teis que podem ser implementadas na produ\u00e7\u00e3o agr\u00edcola para aprimorar o processo de tomada de decis\u00f5es. A tomada de decis\u00f5es com base em uma grande quantidade de dados pode auxiliar agricultores, agr\u00f4nomos e consultores a compreender a situa\u00e7\u00e3o e os processos que ocorrem nos campos agr\u00edcolas monitorados.<\/p>\n<h2>O que \u00e9 imagem de sat\u00e9lite?<\/h2>\n<p>A imagem por sat\u00e9lite, tamb\u00e9m conhecida como sensoriamento remoto por sat\u00e9lite, \u00e9 o processo de usar imagens de sat\u00e9lite para coletar informa\u00e7\u00f5es sobre a superf\u00edcie da Terra, a atmosfera e os oceanos. Essa tecnologia envolve o uso de <a href=\"https:\/\/www.nasa.gov\/audience\/forstudents\/5-8\/features\/nasa-knows\/what-is-a-satellite-58.html\">sat\u00e9lites<\/a> Equipado com sensores e c\u00e2meras especializados que podem capturar imagens de alta resolu\u00e7\u00e3o da Terra a partir do espa\u00e7o.<\/p>\n<p>As imagens capturadas pelos sat\u00e9lites podem ser usadas para diversas aplica\u00e7\u00f5es, incluindo o monitoramento de padr\u00f5es clim\u00e1ticos, o acompanhamento de mudan\u00e7as ambientais, o mapeamento do uso da terra e da vegeta\u00e7\u00e3o e a avalia\u00e7\u00e3o do impacto de desastres naturais. Elas tamb\u00e9m podem ser usadas para fins militares e de intelig\u00eancia.<\/p>\n<p>A obten\u00e7\u00e3o de imagens por sat\u00e9lite, com seus benef\u00edcios, pode revelar situa\u00e7\u00f5es que n\u00e3o s\u00e3o vis\u00edveis em observa\u00e7\u00f5es convencionais. Observa\u00e7\u00f5es convencionais podem ser muito exigentes em termos de m\u00e3o de obra, recursos financeiros e tempo envolvidos.<\/p>\n<p>Mesmo com observa\u00e7\u00f5es regulares feitas durante o per\u00edodo de crescimento das culturas, h\u00e1 v\u00e1rias coisas que n\u00e3o podem ser vistas a olho nu, como o in\u00edcio do desenvolvimento de <a href=\"https:\/\/geopard.tech\/pt-br\/blog\/como-controlar-doencas-nas-plantacoes-com-agricultura-inteligente\/\">doen\u00e7a<\/a> e os danos causados pelas pragas que, em \u00faltima an\u00e1lise, resultam na degrada\u00e7\u00e3o da clorofila em n\u00edvel celular.<\/p>\n<p>Com a integra\u00e7\u00e3o e o c\u00e1lculo de bandas espectrais invis\u00edveis ao olho humano, os produtores e consultores podem visualizar facilmente a degrada\u00e7\u00e3o da clorofila antes do surgimento de sintomas vis\u00edveis de doen\u00e7as ou danos causados por pragas nas plantas.<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"5376\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/how-satellite-imagery-help-in-crop-monitoring\/73-2-min\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?fit=1920%2C1040&amp;ssl=1\" data-orig-size=\"1920,1040\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Multispectral Satellite Imagery\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?fit=1024%2C555&amp;ssl=1\" class=\"alignnone wp-image-5376 size-large\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=810%2C439&#038;ssl=1\" alt=\"Imagens de sat\u00e9lite multiespectrais\" width=\"810\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=1024%2C555&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=300%2C163&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=768%2C416&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=1536%2C832&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=2048%2C1109&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=1200%2C650&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p>Essas vantagens no monitoramento de culturas s\u00e3o ben\u00e9ficas com as tecnologias atuais, permitindo a integra\u00e7\u00e3o dessas informa\u00e7\u00f5es em sistemas de informa\u00e7\u00e3o geogr\u00e1fica, resultando na cria\u00e7\u00e3o de um conjunto de dados r\u00e1pido e de qualidade, pronto para ser utilizado nos processos de tomada de decis\u00e3o relativos aos sistemas de produ\u00e7\u00e3o agr\u00edcola.<\/p>\n<p>Al\u00e9m de embasar decis\u00f5es em informa\u00e7\u00f5es, as imagens de sat\u00e9lite podem ser usadas para relat\u00f3rios, registros e integra\u00e7\u00e3o com diferentes conjuntos de dados (modelos de doen\u00e7as e pragas, etc.)., <a href=\"https:\/\/geopard.tech\/pt-br\/dados-de-rendimento\/\">mapas de rendimento<\/a>, monitoramento de pragas, mapas de fertiliza\u00e7\u00e3o e etc.,) a fim de criar um sistema ainda mais funcional de monitoramento de culturas e da forma como o agricultor ou outros profissionais veem o progresso das culturas durante seu per\u00edodo de crescimento.<\/p>\n<h2>Como as imagens de sat\u00e9lite s\u00e3o utilizadas na agricultura?<\/h2>\n<p>As imagens podem ser usadas para modelar e calcular \u00edndices espectrais que, posteriormente, s\u00e3o utilizados para visualiza\u00e7\u00e3o na forma de s\u00edntese de cores, seja na parte vis\u00edvel do espectro ou incluindo outros comprimentos de onda. A s\u00edntese de cores adequadamente selecionada pode revelar o crescimento da cultura, o estresse ou as condi\u00e7\u00f5es do solo. <a href=\"https:\/\/geopard.tech\/pt-br\/blog\/como-lidar-com-a-erosao-hidrica\/\">eros\u00e3o<\/a> exibido com cores diferentes.<\/p>\n<p>Os \u00edndices espectrais s\u00e3o combina\u00e7\u00f5es da reflex\u00e3o espectral de dois ou mais comprimentos de onda para revelar caracter\u00edsticas de interesse. Os \u00edndices de culturas s\u00e3o mais comumente usados na agricultura, mas tamb\u00e9m s\u00e3o utilizados para a identifica\u00e7\u00e3o de \u00e1reas queimadas, outras caracter\u00edsticas artificiais, corpos d&#039;\u00e1gua e outras forma\u00e7\u00f5es geol\u00f3gicas.<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"5377\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/how-satellite-imagery-help-in-crop-monitoring\/73-3-min\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?fit=1920%2C1040&amp;ssl=1\" data-orig-size=\"1920,1040\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Hyperspectral Satellite Imagery\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?fit=1024%2C555&amp;ssl=1\" class=\"alignnone wp-image-5377 size-large\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=810%2C439&#038;ssl=1\" alt=\"Imagens de sat\u00e9lite hiperespectrais\" width=\"810\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=1024%2C555&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=300%2C163&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=768%2C416&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=1536%2C832&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=2048%2C1109&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=1200%2C650&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p><strong>\u00cdndices espectrais \u00fateis na produ\u00e7\u00e3o agr\u00edcola incluem:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/geopard.tech\/pt-br\/blog\/kc9y2x96kv-which-vegetation-index-is-better-to-use\/\">NDVI<\/a> (\u00cdndice de Vegeta\u00e7\u00e3o por Diferen\u00e7a Normalizada).<\/li>\n<li>EVI (\u00cdndice de Vegeta\u00e7\u00e3o Aprimorado).<\/li>\n<li>RENDVI ou NDRE (\u00cdndice de Vegeta\u00e7\u00e3o por Diferen\u00e7a Normalizada da Borda Vermelha).<\/li>\n<li>GNDVI (\u00cdndice de Vegeta\u00e7\u00e3o por Diferen\u00e7a Normalizada Verde).<\/li>\n<li>MSI ou NDWI (\u00cdndice de Estresse de Umidade).<\/li>\n<li>LAI (\u00cdndice de \u00c1rea Foliar).<\/li>\n<\/ul>\n<p>O NDVI \u00e9 um dos \u00edndices mais utilizados e frequentemente empregado para avaliar o estado inicial de uma cultura. Outros \u00edndices trabalham com caracter\u00edsticas espec\u00edficas, portanto os resultados s\u00e3o relevantes para determinados locais agr\u00edcolas; \u00e9 importante considerar o hist\u00f3rico da vegeta\u00e7\u00e3o da \u00e1rea.<\/p>\n<h2>NDVI (\u00cdndice de Vegeta\u00e7\u00e3o por Diferen\u00e7a Normalizada)<\/h2>\n<p>Este \u00edndice mede a vegeta\u00e7\u00e3o verde e geralmente \u00e9 o mais utilizado. As folhas refletem a luz infravermelha (NIR) e utilizam apenas a luz vis\u00edvel para a fotoss\u00edntese. Isso significa que uma planta saud\u00e1vel, com boa taxa de fotoss\u00edntese, pode ser analisada comparando-se a luz NIR com a luz vermelha vis\u00edvel.<\/p>\n<p>A vegeta\u00e7\u00e3o doente refletir\u00e1 mais luz vis\u00edvel e menos luz infravermelha pr\u00f3xima (NIR). A vegeta\u00e7\u00e3o saud\u00e1vel reduzir\u00e1 parte da luz vis\u00edvel que incide sobre ela. No entanto, o NDVI \u00e9 sens\u00edvel aos efeitos do solo (luz e cor), da cobertura de nuvens e da sombra. Al\u00e9m disso, os valores de NDVI podem estar incorretos em situa\u00e7\u00f5es com vegeta\u00e7\u00e3o densa.<\/p>\n<p><strong>EVI (\u00cdndice de Vegeta\u00e7\u00e3o Aprimorado)<\/strong><\/p>\n<p>Este \u00edndice \u00e9 o padr\u00e3o para espectros de resolu\u00e7\u00e3o moderada \u2013 um instrumento usado nos sat\u00e9lites Terra e Aqua. O EVI apresenta uma alternativa ao NDVI que aborda algumas de suas defici\u00eancias, como as limita\u00e7\u00f5es do solo e da atmosfera, otimizando a refletividade da vegeta\u00e7\u00e3o foliar.<\/p>\n<p>Utiliza a parte azul do espectro vis\u00edvel para corre\u00e7\u00e3o do sinal, reduzindo os efeitos das limita\u00e7\u00f5es mencionadas anteriormente, incluindo a dispers\u00e3o da radia\u00e7\u00e3o eletromagn\u00e9tica por aeross\u00f3is.<\/p>\n<p><strong>RENDVI ou NDRE (\u00cdndice de Vegeta\u00e7\u00e3o por Diferen\u00e7a Normalizada da Borda Vermelha)<\/strong><\/p>\n<p>Este \u00edndice \u00e9 baseado no \u00edndice NDVI padr\u00e3o, mas com modifica\u00e7\u00f5es. O RENDVI \u00e9 muito \u00fatil na agricultura de precis\u00e3o, no monitoramento florestal e na detec\u00e7\u00e3o de estresse em culturas.<\/p>\n<p>Sua efic\u00e1cia se deve \u00e0 inclus\u00e3o de comprimentos de onda que se enquadram na faixa vermelha, em vez de comprimentos de onda que correspondem aos valores de reflex\u00e3o e absor\u00e7\u00e3o. \u00c9 especialmente conveniente para detectar pequenas altera\u00e7\u00f5es nas condi\u00e7\u00f5es da vegeta\u00e7\u00e3o.<\/p>\n<p><strong>GNDVI (\u00cdndice de Vegeta\u00e7\u00e3o por Diferen\u00e7a Normalizada Verde)<\/strong><\/p>\n<p>Este \u00edndice \u00e9 semelhante ao \u00edndice NDVI e mede a reflex\u00e3o da luz na parte verde do espectro, na faixa de comprimento de onda de 540 a 570 nan\u00f4metros, em vez da parte vermelha do espectro. Isso torna o \u00edndice mais sens\u00edvel ao teor de clorofila nas partes verdes das culturas.<\/p>\n<p><strong>MSI (\u00cdndice de Estresse H\u00eddrico)<\/strong><\/p>\n<p>Este \u00edndice \u00e9 sens\u00edvel ao aumento do teor de \u00e1gua nas folhas. O \u00edndice MSI \u00e9 usado para detectar estresse h\u00eddrico e \u00e9 um bom indicador das condi\u00e7\u00f5es das culturas, sendo frequentemente utilizado em modelagem agr\u00edcola, an\u00e1lise de inc\u00eandios e fisiologia de ecossistemas. Valores altos indicam estresse h\u00eddrico e menor teor de \u00e1gua.<\/p>\n<p><strong>LAI (\u00cdndice de \u00c1rea Foliar)<\/strong><\/p>\n<p>Este \u00edndice \u00e9 usado para estimar a \u00e1rea foliar e prever o crescimento e a produtividade das plantas.<\/p>\n<h2>Tipos de imagens de sat\u00e9lite para planta\u00e7\u00f5es<\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Sat\u00e9lites e fornecedores de tecnologia<\/b><\/td>\n<td><b>Tipo de imagem de sat\u00e9lite<\/b><\/td>\n<td><b>Repita o ciclo<\/b><\/td>\n<td><b>Resolu\u00e7\u00e3o espacial<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Landsat4-9<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RGB, MULTIESPECTRAL, PANCROM\u00c1TICO<\/span><\/td>\n<td><span style=\"font-weight: 400;\">8 dias<\/span><\/td>\n<td><span style=\"font-weight: 400;\">15, 30, 100 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Sentinel-2,<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RGB, MULTIESPECTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5 dias<\/span><\/td>\n<td><span style=\"font-weight: 400;\">10 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Escopo do Planeta<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RGB, MULTIESPECTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Di\u00e1rio<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3-4 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Planeta SkySat<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Pancrom\u00e1tico, multiespectral<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Di\u00e1rio<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,5, 0,71-0,82 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Airbus Pleiades<\/span><\/td>\n<td><span style=\"font-weight: 400;\">MULTIESPECTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Di\u00e1rio<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,5 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Apelos NEO<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Pancrom\u00e1tico, multiespectral<\/span><\/td>\n<td><span style=\"font-weight: 400;\">40 minutos ap\u00f3s a solicita\u00e7\u00e3o<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,3 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">ICEEYE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RADAR DE ABERTURA SINT\u00c9TICA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Di\u00e1rio<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,25 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Hiperi\u00e3o<\/span><\/td>\n<td><span style=\"font-weight: 400;\">HIPERESPECTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">N \/ D<\/span><\/td>\n<td><span style=\"font-weight: 400;\">30 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Prisma<\/span><\/td>\n<td><span style=\"font-weight: 400;\">HIPERESPECTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">N \/ D<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,3 m<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>casos de uso de imagens de sat\u00e9lite<\/b><\/h2>\n<p>Aqui est\u00e3o alguns usos importantes de imagens de sat\u00e9lite no monitoramento de culturas:<\/p>\n<p><b>Imagens t\u00e9rmicas<\/b><\/p>\n<p><span style=\"font-weight: 400;\">O calor emitido por objetos ao n\u00edvel do solo pode ser observado em fotografias t\u00e9rmicas a\u00e9reas, que tamb\u00e9m revelam varia\u00e7\u00f5es de temperatura correspondentes ao estresse h\u00eddrico das culturas. A remo\u00e7\u00e3o de elementos desnecess\u00e1rios, como equipamentos de piv\u00f4 central, da imagem por meio de calibra\u00e7\u00e3o e corre\u00e7\u00e3o de imagem, evita distor\u00e7\u00f5es nos dados. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Regi\u00f5es mais frias aparecem em roxo e regi\u00f5es mais quentes em amarelo nas imagens finais. A termografia \u00e9 \u00fatil para encontrar vazamentos, obstru\u00e7\u00f5es e outros problemas de irriga\u00e7\u00e3o, j\u00e1 que a \u00e1gua resfria a vegeta\u00e7\u00e3o. A termografia auxilia os produtores na identifica\u00e7\u00e3o de doen\u00e7as e pragas em est\u00e1gios pr\u00e9-sintom\u00e1ticos, permitindo interven\u00e7\u00f5es mais r\u00e1pidas e direcionadas ao revelar pequenas altera\u00e7\u00f5es na temperatura da superf\u00edcie das folhas.<\/span><\/p>\n<p><b>Umidade do solo<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Na agricultura, \u00e9 fundamental levar em considera\u00e7\u00e3o a umidade do solo. Para aplica\u00e7\u00f5es de agricultura de precis\u00e3o (na escala de campos individuais) e com a expectativa de aprimorar a modelagem da produtividade agr\u00edcola, a disponibilidade de mapas de umidade do solo de alta resolu\u00e7\u00e3o \u00e9 crucial. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Devido \u00e0 baixa resolu\u00e7\u00e3o espacial e \u00e0 pouca profundidade das observa\u00e7\u00f5es, os produtos de umidade do solo gerados por sat\u00e9lite t\u00eam sido pouco utilizados no apoio \u00e0 decis\u00e3o agr\u00edcola em escala de fazenda ou campo. No entanto, se puderem fornecer dados relevantes em dimens\u00f5es temporais e espaciais aceit\u00e1veis, prev\u00ea-se que a umidade do solo derivada de sat\u00e9lite tenha um grande potencial.<\/span><\/p>\n<p><b>Resolu\u00e7\u00e3o<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A obten\u00e7\u00e3o de imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o a partir de sat\u00e9lites em \u00f3rbita baixa tornou-se mais desenvolvida e acess\u00edvel recentemente, proporcionando mais uma possibilidade para aplica\u00e7\u00f5es de fenotipagem. Este artigo ilustra como a fotografia de sat\u00e9lite \u00e9 utilizada na fenotipagem de culturas e na produ\u00e7\u00e3o agr\u00edcola, e identifica caracter\u00edsticas das plantas que podem ser avaliadas utilizando dados de sat\u00e9lite de alta resolu\u00e7\u00e3o. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">O artigo aborda os benef\u00edcios do uso da fenotipagem baseada em sat\u00e9lite em programas de melhoramento de culturas, bem como as desvantagens, como o bloqueio por nuvens. Tamb\u00e9m explora os usos potenciais de imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o como ferramenta de fenotipagem no futuro. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Para ajudar os melhoristas de plantas a escolher variedades de alto rendimento e tolerantes ao estresse, que possam atender \u00e0 demanda global por alimentos e, ao mesmo tempo, lidar com as mudan\u00e7as clim\u00e1ticas, imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o podem ser usadas como ferramenta de fenotipagem para a avalia\u00e7\u00e3o de variedades de culturas.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> <img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"5378\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/how-satellite-imagery-help-in-crop-monitoring\/73-4-min\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?fit=2400%2C1300&amp;ssl=1\" data-orig-size=\"2400,1300\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Satellite monitoring of crops\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?fit=1024%2C555&amp;ssl=1\" class=\"alignnone wp-image-5378 size-large\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=810%2C439&#038;ssl=1\" alt=\"Monitoramento por sat\u00e9lite\" width=\"810\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=1024%2C555&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=300%2C163&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=768%2C416&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=1536%2C832&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=2048%2C1109&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=1200%2C650&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/span><\/p>\n<p><b>Aplica\u00e7\u00f5es de imagens de sat\u00e9lite<\/b><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/geopard.tech\/pt-br\/\">GeoPard<\/a> capacidades e<a href=\"https:\/\/geopard.tech\/pt-br\/blog\/s30enmsdy3-satellite-monitoring\/\"> aplica\u00e7\u00f5es de imagens de sat\u00e9lite oferecem<\/a> Os usu\u00e1rios podem visualizar, normalizar, analisar e extrair informa\u00e7\u00f5es diretamente das parcelas agr\u00edcolas para melhorar a produ\u00e7\u00e3o de culturas. Essa utiliza\u00e7\u00e3o de dados pode ser feita com a ajuda de algoritmos GeoPard prontos para uso ou criando algoritmos pr\u00f3prios para torn\u00e1-los \u00fateis para a agronomia. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Esses algoritmos permitem avaliar o crescimento das culturas, o estresse, etc. (veja a foto) ou at\u00e9 mesmo criar mapas de prescri\u00e7\u00e3o: por exemplo, mapas de aplica\u00e7\u00e3o de nitrog\u00eanio VR, mapas de aplica\u00e7\u00e3o de pulveriza\u00e7\u00e3o de prote\u00e7\u00e3o de cultivos.<\/span><\/p>\n<hr \/>\n<h2>Perguntas frequentes<\/h2>\n<hr \/>\n<p><strong>1. Como obter imagens de sat\u00e9lite para uma fazenda?<\/strong><\/p>\n<p>Para obter esse servi\u00e7o para sua fazenda, pesquise fornecedores, cadastre-se e acesse o banco de dados ou portal deles. Especifique a localiza\u00e7\u00e3o da sua fazenda e os par\u00e2metros desejados para obter imagens relevantes para o monitoramento agr\u00edcola.<\/p>\n<p><strong>2. Por que as imagens de sat\u00e9lite s\u00e3o \u00fateis para a compreens\u00e3o das teias alimentares?<\/strong><\/p>\n<p>\u00c9 \u00fatil para a compreens\u00e3o das teias alimentares devido \u00e0 sua capacidade de fornecer uma vis\u00e3o ampla e abrangente dos ecossistemas. Ao capturar imagens em grande escala de corpos d&#039;\u00e1gua e terra, permite que os cientistas observem e analisem a distribui\u00e7\u00e3o espacial de diversos habitats e recursos.<\/p>\n<p>Isso, por sua vez, auxilia no estudo das intera\u00e7\u00f5es entre diferentes esp\u00e9cies, na identifica\u00e7\u00e3o de rela\u00e7\u00f5es alimentares importantes e na compreens\u00e3o do fluxo de energia nas teias alimentares.<\/p>\n<p>Isso ajuda a desvendar din\u00e2micas ecol\u00f3gicas complexas, contribuindo para uma compreens\u00e3o mais profunda do funcionamento do ecossistema e dos esfor\u00e7os de conserva\u00e7\u00e3o.<\/p>\n<p><strong>3. Qual o custo das imagens de sat\u00e9lite?<\/strong><\/p>\n<p>O custo varia dependendo de diversos fatores, como o fornecedor, a resolu\u00e7\u00e3o, a frequ\u00eancia de aquisi\u00e7\u00e3o e a extens\u00e3o da cobertura necess\u00e1ria. Os pre\u00e7os podem variar de op\u00e7\u00f5es acess\u00edveis para imagens de baixa resolu\u00e7\u00e3o a op\u00e7\u00f5es mais caras para monitoramento em alta resolu\u00e7\u00e3o e em tempo real.<\/p>\n<p>Al\u00e9m disso, servi\u00e7os especializados ou solicita\u00e7\u00f5es de dados personalizados podem acarretar custos adicionais. \u00c9 recomend\u00e1vel pesquisar diferentes fornecedores e seus modelos de pre\u00e7os para encontrar uma solu\u00e7\u00e3o de imagens de sat\u00e9lite que esteja alinhada \u00e0s suas necessidades espec\u00edficas e ao seu or\u00e7amento.<\/p>\n<p><strong>4. O que s\u00e3o imagens de sat\u00e9lite infravermelhas? Como interpret\u00e1-las?<\/strong><\/p>\n<p>Ela capta a radia\u00e7\u00e3o infravermelha emitida por objetos e superf\u00edcies na superf\u00edcie da Terra. Isso fornece informa\u00e7\u00f5es valiosas sobre varia\u00e7\u00f5es de temperatura e padr\u00f5es t\u00e9rmicos.<\/p>\n<p>Para interpretar imagens de sat\u00e9lite infravermelhas, \u00e9 preciso entender que objetos mais quentes aparecem mais brilhantes na imagem, enquanto objetos mais frios aparecem mais escuros. Analisando essas varia\u00e7\u00f5es de temperatura, \u00e9 poss\u00edvel avaliar forma\u00e7\u00f5es de nuvens, identificar diferen\u00e7as de temperatura entre a terra e a \u00e1gua, detectar inc\u00eandios florestais e at\u00e9 mesmo monitorar correntes oce\u00e2nicas.<\/p>\n<p>Compreender a escala de cores e interpretar os n\u00edveis de brilho nas imagens ajuda a extrair informa\u00e7\u00f5es relevantes de imagens de sat\u00e9lite infravermelho.<\/p>","protected":false},"excerpt":{"rendered":"<p>As imagens de sat\u00e9lite s\u00e3o uma das fun\u00e7\u00f5es mais vers\u00e1teis que podem ser implementadas na produ\u00e7\u00e3o agr\u00edcola para melhorar o processo de tomada de decis\u00f5es. Tomar decis\u00f5es\u2026<\/p>","protected":false},"author":210157960,"featured_media":5375,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","_crdt_document":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1661,1380],"tags":[1599],"class_list":["post-5363","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-satellite-imagery","category-whats","tag-remote-sensing"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.6 (Yoast SEO v27.4) - 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